# How to integrate Simplekpi MCP with LlamaIndex

```json
{
  "title": "How to integrate Simplekpi MCP with LlamaIndex",
  "toolkit": "Simplekpi",
  "toolkit_slug": "simplekpi",
  "framework": "LlamaIndex",
  "framework_slug": "llama-index",
  "url": "https://composio.dev/toolkits/simplekpi/framework/llama-index",
  "markdown_url": "https://composio.dev/toolkits/simplekpi/framework/llama-index.md",
  "updated_at": "2026-03-29T06:50:40.641Z"
}
```

## Introduction

This guide walks you through connecting Simplekpi to LlamaIndex using the Composio tool router. By the end, you'll have a working Simplekpi agent that can show me top performing kpis this month, add a new kpi for sales pipeline, generate a report on marketing metrics through natural language commands.
This guide will help you understand how to give your LlamaIndex agent real control over a Simplekpi account through Composio's Simplekpi MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Simplekpi with

- [OpenAI Agents SDK](https://composio.dev/toolkits/simplekpi/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/simplekpi/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/simplekpi/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/simplekpi/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/simplekpi/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/simplekpi/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/simplekpi/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/simplekpi/framework/cli)
- [Google ADK](https://composio.dev/toolkits/simplekpi/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/simplekpi/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/simplekpi/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/simplekpi/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/simplekpi/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set your OpenAI and Composio API keys
- Install LlamaIndex and Composio packages
- Create a Composio Tool Router session for Simplekpi
- Connect LlamaIndex to the Simplekpi MCP server
- Build a Simplekpi-powered agent using LlamaIndex
- Interact with Simplekpi through natural language

## What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.
Key features include:
- ReAct Agent: Reasoning and acting pattern for tool-using agents
- MCP Tools: Native support for Model Context Protocol
- Context Management: Maintain conversation context across interactions
- Async Support: Built for async/await patterns

## What is the Simplekpi MCP server, and what's possible with it?

The Simplekpi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simplekpi account. It provides structured and secure access so your agent can perform Simplekpi operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SIMPLEKPI_ADD_USER_GROUP_ITEM` | Add User Group Item | Tool to assign a group item to a user in SimpleKPI. Use when you need to add a group item to a specific user's profile. |
| `SIMPLEKPI_ADD_USER_KPI` | Add User KPI | Tool to assign a KPI to a user in SimpleKPI. Use when you need to link a KPI to a specific user with optional custom target and display order. |
| `SIMPLEKPI_CREATE_CATEGORY_KPI` | Create Category KPI | Tool to create a new KPI within a category in SimpleKPI. Use when you need to add a new performance indicator to track metrics like sales, revenue, or customer satisfaction. |
| `SIMPLEKPI_CREATE_GROUP` | Create Group | Tool to create a new group in SimpleKPI. Use when you need to organize KPIs or users into logical groups for better organization and reporting. |
| `SIMPLEKPI_CREATE_GROUP_ITEM` | Create Group Item | Tool to create a new item within a group in SimpleKPI. Use when you need to add a new item to an existing group for organizing KPIs or data. |
| `SIMPLEKPI_CREATE_KPI` | Create KPI | Tool to create a new KPI with specified configuration. Use when you need to add a new Key Performance Indicator to track metrics. |
| `SIMPLEKPI_CREATE_KPI_CATEGORY` | Create KPI Category | Tool to create a new KPI category in SimpleKPI. Use when you need to organize KPIs into logical groups or categories. |
| `SIMPLEKPI_CREATE_KPI_UNIT` | Create KPI Unit | Tool to create a new KPI unit in SimpleKPI. Use when you need to define a measurement unit for KPI tracking. |
| `SIMPLEKPI_BATCH_KPI_ENTRIES` | Batch KPI Entries | Tool to batch create or update multiple KPI entries at once. Use when you need to load multiple KPI data points efficiently (up to 5000 entries per batch). Each entry must have a kpi_id, entry_date, and either email or user_id. |
| `SIMPLEKPI_CREATE_USER` | Create User | Tool to create a new user account in SimpleKPI. Use when you need to add a new user with specific permissions and access levels. |
| `SIMPLEKPI_DELETE_CATEGORY_KPI` | Delete Category KPI | Tool to delete a KPI from a category. Use when you need to remove a specific KPI from a category. |
| `SIMPLEKPI_DELETE_GROUP` | Delete Group | Tool to delete a group by ID. Use when you need to permanently remove a group from the system. |
| `SIMPLEKPI_DELETE_GROUP_ITEM` | Delete Group Item | Tool to delete a group item by ID. Use when you need to remove an item from a specific group. |
| `SIMPLEKPI_DELETE_KPI` | Delete KPI | Tool to delete a KPI by ID. Use when you need to permanently remove a specific KPI from the system. |
| `SIMPLEKPI_DELETE_KPI_CATEGORY` | Delete KPI Category | Tool to delete a KPI category by its ID. Use when you need to remove a KPI category from the system. |
| `SIMPLEKPI_DELETE_KPI_ENTRY` | Delete KPI Entry | Tool to delete a KPI entry by ID. Use when you need to permanently remove a specific KPI entry from the system. |
| `SIMPLEKPI_DELETE_KPI_UNIT` | Delete KPI Unit | Tool to delete a KPI unit by its ID. Use when you need to remove a KPI unit from the system. |
| `SIMPLEKPI_DELETE_USER` | Delete User | Tool to delete a user account by ID. Use when you need to permanently remove a user from the system. |
| `SIMPLEKPI_DELETE_USER_GROUP_ITEM` | Delete User Group Item | Tool to remove a group item assignment from a user. Use when you need to unassign a specific group item from a user. |
| `SIMPLEKPI_DELETE_USER_KPI` | Delete User KPI | Tool to remove a KPI assignment from a user. Use when you need to unassign or delete a specific KPI from a user's profile. |
| `SIMPLEKPI_GET_ALL_DATA_ENTRIES` | Get All Data Entries | Tool to retrieve processed KPI data entries for reports including calculated KPIs. Use when you need comprehensive report data with KPI metrics, targets, and metadata. Returns up to 10,000 entries with details like kpiId, kpiName, itemName, period, actual, target, and notes. |
| `SIMPLEKPI_GET_CATEGORY_KPI` | Get Category KPI | Tool to retrieve a specific KPI within a category. Use when you need detailed information about a particular KPI including its name, description, target values, and configuration settings. |
| `SIMPLEKPI_GET_GROUP` | Get Group | Tool to get a specific group by ID from SimplekPI. Use when you need to retrieve detailed information about a particular group. |
| `SIMPLEKPI_GET_GROUP_ITEM` | Get Group Item | Tool to retrieve a specific group item by ID. Use when you need to fetch details of a particular item within a group. |
| `SIMPLEKPI_GET_KPI_BY_ID` | Get KPI by ID | Tool to retrieve a specific KPI by ID from SimpleKPI. Use when you need detailed information about a particular KPI including its configuration, targets, and metadata. |
| `SIMPLEKPI_GET_KPI_CATEGORY` | Get KPI Category | Tool to get a specific KPI category by ID from SimpleKPI. Use when you need to retrieve detailed information about a particular KPI category. |
| `SIMPLEKPI_GET_KPI_ENTRY` | Get KPI Entry | Tool to retrieve a specific KPI entry by ID. Use when you need to fetch detailed information about a particular KPI entry including actual values, targets, notes, and timestamps. |
| `SIMPLEKPI_GET_KPI_FREQUENCY` | Get KPI Frequency | Tool to get a specific KPI frequency by ID from SimplekPI. Use when you need to retrieve information about a particular frequency setting for KPIs. |
| `SIMPLEKPI_GET_KPI_ICON_BY_ID` | Get KPI Icon by ID | Tool to retrieve a specific KPI icon by ID. Use when you need to get icon details including the icon name which can be used to construct the icon URL. |
| `SIMPLEKPI_GET_KPI_UNIT` | Get KPI Unit | Tool to get a specific KPI unit by ID from SimpleKPI. Use when you need to retrieve detailed information about a particular KPI unit including its format specifications and metadata. |
| `SIMPLEKPI_GET_USER_BY_ID` | Get User by ID | Tool to retrieve a specific user by ID. Use when you need to get details about a particular user account. |
| `SIMPLEKPI_GET_USER_GROUP_ITEM` | Get User Group Item | Tool to get a specific group item assigned to a user. Use when you need to retrieve details of a particular group item for a user. |
| `SIMPLEKPI_GET_USER_KPI` | Get User KPI | Tool to retrieve a specific KPI assigned to a user. Use when you need details about a particular KPI assignment for a user. |
| `SIMPLEKPI_LIST_CATEGORY_KPIS` | List Category KPIs | Tool to retrieve all KPIs within a specific category. Use when you need to list or inspect KPIs belonging to a particular category. |
| `SIMPLEKPI_LIST_GROUP_ITEMS` | List Group Items | Tool to get all items within a group. Use when you need to retrieve the complete list of items belonging to a specific group. |
| `SIMPLEKPI_LIST_GROUPS` | List Groups | Tool to retrieve all groups from SimpleKPI. Use when you need to list groups for organizing users and company hierarchy. |
| `SIMPLEKPI_LIST_KPI_CATEGORIES` | List KPI Categories | Tool to get all KPI categories. Use when you need to retrieve the complete list of KPI categories for organizing KPIs. |
| `SIMPLEKPI_LIST_KPI_ENTRIES` | List KPI Entries | Tool to get all KPI entries filtered by date range and optional criteria. Use when you need to retrieve KPI data for analysis or reporting. Returns a maximum of 500 entries per page. Use pagination parameters (rows, page) to retrieve additional entries. |
| `SIMPLEKPI_LIST_KPI_FREQUENCIES` | List KPI Frequencies | Tool to get all KPI frequencies. Use when you need to retrieve available data entry frequency options (Daily, Weekly, Monthly, etc.) for KPI configuration. |
| `SIMPLEKPI_LIST_KPI_ICONS` | List KPI Icons | Tool to retrieve all KPI icons from SimpleKPI. Use when you need to get available icons for display purposes or to help identify KPIs. |
| `SIMPLEKPI_LIST_ALL_KPIS` | List All KPIs | Tool to retrieve all KPIs from a SimpleKPI account. Use when you need to list all available KPIs with their configurations, targets, and metadata. |
| `SIMPLEKPI_LIST_ALL_KPI_UNITS` | List All KPI Units | Tool to retrieve all KPI units from a SimpleKPI account. Use when you need to list available units that describe how KPI values are displayed (currency, percentage, etc.). |
| `SIMPLEKPI_LIST_USER_GROUP_ITEMS` | List User Group Items | Tool to get all group items assigned to a user. Use when you need to retrieve group assignments for a specific user in SimpleKPI. |
| `SIMPLEKPI_LIST_USER_KPIS` | List User KPIs | Tool to get all KPIs assigned to a specific user. Use when you need to retrieve what KPIs a user can enter data against and analyze. |
| `SIMPLEKPI_UPDATE_CATEGORY_KPI` | Update Category KPI | Tool to update a KPI within a category. Use when you need to modify KPI details such as name, target, frequency, or aggregation method. |
| `SIMPLEKPI_UPDATE_GROUP` | Update Group | Tool to update an existing group in SimpleKPI. Use when you need to modify a group's name or display order. |
| `SIMPLEKPI_UPDATE_GROUP_ITEM` | Update Group Item | Tool to update an existing item in a SimpleKPI group. Use when you need to modify the name or sort order of a group item. Requires both group_id and item id to identify the item to update. Both name and sort_order must be provided. |
| `SIMPLEKPI_UPDATE_KPI` | Update KPI | Tool to update an existing KPI in SimpleKPI. Use when you need to modify KPI properties such as name, description, target values, or settings. |
| `SIMPLEKPI_UPDATE_KPI_ENTRY` | Update KPI Entry | Tool to update an existing KPI entry in SimpleKPI. Use when modifying entry values, targets, or notes for a specific KPI entry. At least one of actual, target, or notes must be provided (actual cannot be null if both target and notes are null). |
| `SIMPLEKPI_UPDATE_KPI_UNIT` | Update KPI Unit | Tool to update an existing KPI unit in SimpleKPI. Use when you need to modify unit properties such as name, entry format, display format, or percentage status. |
| `SIMPLEKPI_UPDATE_USER` | Update User | Tool to update an existing user account in SimpleKPI. Use when you need to modify user details such as type, status, name, or permissions. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Simplekpi MCP server is an implementation of the Model Context Protocol that connects your AI agent to Simplekpi. It provides structured and secure access so your agent can perform Simplekpi operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before you begin, make sure you have:
- Python 3.8/Node 16 or higher installed
- A Composio account with the API key
- An OpenAI API key
- A Simplekpi account and project
- Basic familiarity with async Python/Typescript

### 1. Getting API Keys for OpenAI, Composio, and Simplekpi

No description provided.

### 2. Installing dependencies

No description provided.
```python
pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv
```

```typescript
npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv
```

### 3. Set environment variables

Create a .env file in your project root:
These credentials will be used to:
- Authenticate with OpenAI's GPT-5 model
- Connect to Composio's Tool Router
- Identify your Composio user session for Simplekpi access
```bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id
```

### 4. Import modules

No description provided.
```python
import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();
```

### 5. Load environment variables and initialize Composio

No description provided.
```python
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set in the environment")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment")
```

```typescript
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");
```

### 6. Create a Tool Router session and build the agent function

What's happening here:
- We create a Composio client using your API key and configure it with the LlamaIndex provider
- We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, simplekpi)
- The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
- LlamaIndex will connect to this endpoint to dynamically discover and use the available Simplekpi tools.
- The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
```python
async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["simplekpi"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Simplekpi actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Simplekpi actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)
```

```typescript
async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["simplekpi"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Simplekpi actions." ,
    llm,
    tools,
  });

  return agent;
}
```

### 7. Create an interactive chat loop

No description provided.
```python
async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")
```

```typescript
async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}
```

### 8. Define the main entry point

What's happening here:
- We're orchestrating the entire application flow
- The agent gets built with proper error handling
- Then we kick off the interactive chat loop so you can start talking to Simplekpi
```python
async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();
```

### 9. Run the agent

When prompted, authenticate and authorise your agent with Simplekpi, then start asking questions.
```bash
python llamaindex_agent.py
```

```typescript
npx ts-node llamaindex-agent.ts
```

## Complete Code

```python
import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["simplekpi"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Simplekpi actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Simplekpi actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["simplekpi"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Simplekpi actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();
```

## Conclusion

You've successfully connected Simplekpi to LlamaIndex through Composio's Tool Router MCP layer.
Key takeaways:
- Tool Router dynamically exposes Simplekpi tools through an MCP endpoint
- LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
- The agent becomes more capable without increasing prompt size
- Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

## How to build Simplekpi MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/simplekpi/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/simplekpi/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/simplekpi/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/simplekpi/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/simplekpi/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/simplekpi/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/simplekpi/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/simplekpi/framework/cli)
- [Google ADK](https://composio.dev/toolkits/simplekpi/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/simplekpi/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/simplekpi/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/simplekpi/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/simplekpi/framework/crew-ai)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Simplekpi MCP?

With a standalone Simplekpi MCP server, the agents and LLMs can only access a fixed set of Simplekpi tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simplekpi and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LlamaIndex?

Yes, you can. LlamaIndex fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Simplekpi tools.

### Can I manage the permissions and scopes for Simplekpi while using Tool Router?

Yes, absolutely. You can configure which Simplekpi scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Simplekpi data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)