# How to integrate Simplekpi MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Simplekpi MCP with Vercel AI SDK v6",
  "toolkit": "Simplekpi",
  "toolkit_slug": "simplekpi",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/simplekpi/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/simplekpi/framework/ai-sdk.md",
  "updated_at": "2026-03-29T06:50:40.641Z"
}
```

## Introduction

This guide walks you through connecting Simplekpi to Vercel AI SDK v6 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 Vercel AI SDK 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)
- [Mastra AI](https://composio.dev/toolkits/simplekpi/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/simplekpi/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/simplekpi/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Simplekpi integration
- Using Composio's Tool Router to dynamically load and access Simplekpi tools
- Creating an MCP client connection using HTTP transport
- Building an interactive CLI chat interface with conversation history management
- Handling tool calls and results within the Vercel AI SDK framework

## What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.
Key features include:
- streamText: Core function for streaming responses with real-time tool support
- MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
- Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
- OpenAI Provider: Native integration with OpenAI models

## 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:
- Node.js and npm installed
- A Composio account with API key
- An OpenAI API key

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

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install required dependencies

First, install the necessary packages for your project.
What you're installing:
- @ai-sdk/openai: Vercel AI SDK's OpenAI provider
- @ai-sdk/mcp: MCP client for Vercel AI SDK
- @composio/core: Composio SDK for tool integration
- ai: Core Vercel AI SDK
- dotenv: Environment variable management
```bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's needed:
- OPENAI_API_KEY: Your OpenAI API key for GPT model access
- COMPOSIO_API_KEY: Your Composio API key for tool access
- COMPOSIO_USER_ID: A unique identifier for the user session
```bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
```

### 4. Import required modules and validate environment

What's happening:
- We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
- The dotenv/config import automatically loads environment variables
- The MCP client import enables connection to Composio's tool server
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
```

### 5. Create Tool Router session and initialize MCP client

What's happening:
- We're creating a Tool Router session that gives your agent access to Simplekpi tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
- This session provides access to all Simplekpi-related tools through the MCP protocol
```typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["simplekpi"],
  });

  const mcpUrl = session.mcp.url;
```

### 6. Connect to MCP server and retrieve tools

What's happening:
- We're creating an MCP client that connects to our Composio Tool Router session via HTTP
- The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
- The type: "http" is important - Composio requires HTTP transport
- tools() retrieves all available Simplekpi tools that the agent can use
```typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
```

### 7. Initialize conversation and CLI interface

What's happening:
- We initialize an empty messages array to maintain conversation history
- A readline interface is created to accept user input from the command line
- Instructions are displayed to guide the user on how to interact with the agent
```typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to simplekpi, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
```

### 8. Handle user input and stream responses with real-time tool feedback

What's happening:
- We use streamText instead of generateText to stream responses in real-time
- toolChoice: "auto" allows the model to decide when to use Simplekpi tools
- stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
- onStepFinish callback displays which tools are being used in real-time
- We iterate through the text stream to create a typewriter effect as the agent responds
- The complete response is added to conversation history to maintain context
- Errors are caught and displayed with helpful retry suggestions
```typescript
rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["simplekpi"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to simplekpi, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
      console.log("\nGoodbye!");
      rl.close();
      process.exit(0);
    }

    if (!trimmedInput) {
      rl.prompt();
      return;
    }

    messages.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Conclusion

You've successfully built a Simplekpi agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.
Key features of this implementation:
- Real-time streaming responses for a better user experience with typewriter effect
- Live tool execution feedback showing which tools are being used as the agent works
- Dynamic tool loading through Composio's Tool Router with secure authentication
- Multi-step tool execution with configurable step limits (up to 10 steps)
- Comprehensive error handling for robust agent execution
- Conversation history maintenance for context-aware responses
You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [Mastra AI](https://composio.dev/toolkits/simplekpi/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/simplekpi/framework/llama-index)
- [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 Vercel AI SDK v6?

Yes, you can. Vercel AI SDK v6 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.

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