# How to integrate Toneden MCP with LlamaIndex

```json
{
  "title": "How to integrate Toneden MCP with LlamaIndex",
  "toolkit": "Toneden",
  "toolkit_slug": "toneden",
  "framework": "LlamaIndex",
  "framework_slug": "llama-index",
  "url": "https://composio.dev/toolkits/toneden/framework/llama-index",
  "markdown_url": "https://composio.dev/toolkits/toneden/framework/llama-index.md",
  "updated_at": "2026-05-12T10:28:57.615Z"
}
```

## Introduction

This guide walks you through connecting Toneden to LlamaIndex using the Composio tool router. By the end, you'll have a working Toneden agent that can create a new facebook ad campaign, schedule instagram post for next friday, generate landing page for upcoming event through natural language commands.
This guide will help you understand how to give your LlamaIndex agent real control over a Toneden account through Composio's Toneden MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Toneden with

- [OpenAI Agents SDK](https://composio.dev/toolkits/toneden/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/toneden/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/toneden/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/toneden/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/toneden/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/toneden/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/toneden/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/toneden/framework/cli)
- [Google ADK](https://composio.dev/toolkits/toneden/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/toneden/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/toneden/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/toneden/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/toneden/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 Toneden
- Connect LlamaIndex to the Toneden MCP server
- Build a Toneden-powered agent using LlamaIndex
- Interact with Toneden 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 Toneden MCP server, and what's possible with it?

The Toneden MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Toneden account. It provides structured and secure access to your marketing campaigns, audience engagement tools, and ad automation, so your agent can perform actions like launching social campaigns, managing ads, analyzing audience growth, creating landing pages, and tracking campaign performance on your behalf.
- Automated campaign creation and management: Let your agent launch, schedule, and optimize social media campaigns for events, music releases, or promotions without manual setup.
- Ad management and optimization: Have your agent create, monitor, and adjust advertising campaigns to maximize audience reach and ROI across supported platforms.
- Landing page generation: Direct the agent to design and deploy landing pages tailored for ticket sales, music drops, or fan engagement—all within your brand style.
- Audience analytics and insights: Enable the agent to pull detailed reports on campaign performance, audience growth, and conversion metrics to inform your marketing strategy.
- Automated retargeting and follow-ups: Allow your agent to set up retargeting flows or follow-up campaigns to recapture interested fans and boost engagement rates.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TONEDEN_CREATE_ADVERTISING_CAMPAIGN` | Create Advertising Campaign | Tool to create a ToneDen advertising campaign on Facebook or Google platforms. Use when you need to launch a new ad campaign with specified budget, targeting, and creatives. |
| `TONEDEN_CREATE_ATTACHMENT` | Create Attachment | Tool to create an attachment. Use when you need to programmatically create a social unlock or contest attachment after gathering all required parameters. |
| `TONEDEN_CREATE_LINK` | Create ToneDen Link | Tool to create a ToneDen link. Use when you have the target_type and, if needed, the services array. Supports creation of links for music, podcast, livestream, event, tour, biglink, fundraiser, smartlink, and custom types. |
| `TONEDEN_DELETE_ADVERTISING_CAMPAIGN` | Delete Advertising Campaign | Deletes a ToneDen advertising campaign by ID using DELETE /advertising/campaigns/{campaignID}. |
| `TONEDEN_DELETE_LINK` | Delete ToneDen Link | Deletes a ToneDen link by ID using DELETE /links/{linkID}. |
| `TONEDEN_DELETE_PLAYBOOK_CAMPAIGN` | Delete ToneDen Playbook Campaign | Deletes a ToneDen playbook campaign by ID using DELETE /playbooks/campaigns/{campaignID}. |
| `TONEDEN_EXPAND_LINK_TEMPLATE` | Expand ToneDen Link Template | Tool to expand a ToneDen link template. Use when you need to retrieve the full template link with your tracking pixels and optional service links. Provide a URL to generate platform services for music or podcast content. |
| `TONEDEN_GET_ADVERTISING_CAMPAIGN` | Get Advertising Campaign | Retrieve a specific advertising campaign by its ID using ToneDen's API. Endpoint: GET /advertising/campaigns/{campaignID} Notes: - This endpoint does not require a userID in the path per official docs. - Some accounts may not have advertising access; in such cases, non-2xx responses are still returned here for observability instead of raising, so the caller can inspect the error object. |
| `TONEDEN_GET_ADVERTISING_CAMPAIGN_CREATIVE_INSIGHTS` | Get Advertising Campaign Creative Insights | Retrieve creative performance insights for a specific advertising campaign using ToneDen's API. Endpoint: GET /advertising/campaigns/{campaignID}/creativeInsights. Note: Endpoint uses camelCase `creativeInsights` per official docs. |
| `TONEDEN_GET_ADVERTISING_CAMPAIGN_INSIGHTS` | Get Advertising Campaign Insights | Retrieve performance insights for a specific advertising campaign using ToneDen's API. Endpoint: GET /advertising/campaigns/{campaignID}/insights. |
| `TONEDEN_GET_ATTACHMENT` | Get Attachment | Tool to retrieve an attachment by ID. Use when you need to fetch details of an existing attachment by its ID. |
| `TONEDEN_GET_ATTACHMENT_ENTRIES_TIME_SERIES` | Get Attachment Entries Time Series | Tool to fetch time-series entry statistics for a specific attachment. Use when you need chronological entry data points for an attachment. |
| `TONEDEN_GET_ATTACHMENT_ENTRIES_TOTALS` | Get Attachment Entries Totals | Tool to fetch summary counts of entries for an attachment. Use when you need aggregate entry counts over day, week, month, and lifetime. |
| `TONEDEN_GET_ATTACHMENT_UNLOCKS_BY_PLATFORM` | Get Attachment Unlocks By Platform | Tool to fetch counts of unlocks by platform for a specific attachment. Use when you need a breakdown of unlocks across platforms like Spotify, Twitter, etc. |
| `TONEDEN_GET_ATTACHMENT_UNLOCKS_TIME_SERIES` | Get Attachment Unlocks Time Series | Tool to fetch time-series unlock statistics for a specific attachment. Use when you need chronological unlock data points for an attachment. |
| `TONEDEN_GET_LINK` | Get Link | Tool to retrieve a specific ToneDen link by its ID. Use when you need to fetch details about an existing link. |
| `TONEDEN_GET_LINK_INSIGHTS` | Get Link Insights | Tool to retrieve detailed insights for a ToneDen link. Use when you have a link ID and need metrics such as clicks, clickthroughs, email clicks, etc. |
| `TONEDEN_GET_LINK_INSIGHTS_OVERVIEW` | Get Link Insights Overview | Tool to retrieve a summary overview of a link's performance insights. Use when you have a link ID and need aggregated metrics across platforms. |
| `TONEDEN_GET_USER` | Get ToneDen User | Tool to retrieve a specific ToneDen user by ID. Use when you need to fetch user profile information or details about the currently authenticated user. |
| `TONEDEN_LIST_PLAYBOOK_CAMPAIGNS` | List ToneDen Playbook Campaigns | Tool to list playbook campaigns. Use when you need to retrieve a paginated list of all playbook campaigns. |
| `TONEDEN_LIST_USER_ATTACHMENTS` | List User Attachments | Tool to list attachments for a user. Use when you need to retrieve social unlocks or contest attachments belonging to a specific user. |
| `TONEDEN_LIST_USER_LISTS` | List User Lists | Tool to retrieve a list of a user's advertising user lists. Use when you need to fetch all user lists (custom audiences) for a specific ToneDen user. |
| `TONEDEN_UPDATE_ATTACHMENT` | Update Attachment | Tool to update an existing attachment. Use when you need to flexibly modify any attachment field (or add custom fields) after its creation. |
| `TONEDEN_UPDATE_PLAYBOOK_CAMPAIGN` | Update ToneDen Playbook Campaign | Updates a ToneDen playbook campaign by ID using PUT /playbooks/campaigns/{campaignID}. Note: ToneDen's public docs do not expose the full request body schema for updates. This action sends a flexible JSON payload composed from provided fields and returns diagnostic information without raising on non-2xx responses, to aid real-world testing. |
| `TONEDEN_UPDATE_USER` | Update ToneDen User | Tool to update a ToneDen user's profile. Use when you need to modify user details (e.g., name, location, or settings) after fetching them. |
| `TONEDEN_VALIDATE_LINK_PATH` | Validate Link Path | Tool to check if a link path/subdomain combination is unique and valid. Use when creating or editing a ToneDen link to verify the path is available. |

## Supported Triggers

None listed.

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

The Toneden MCP server is an implementation of the Model Context Protocol that connects your AI agent to Toneden. It provides structured and secure access so your agent can perform Toneden 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 Toneden account and project
- Basic familiarity with async Python/Typescript

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

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 Toneden 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, toneden)
- 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 Toneden 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=["toneden"],
    )

    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 Toneden actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Toneden 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: ["toneden"],
    },
  );

  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 Toneden 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 Toneden
```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 Toneden, 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=["toneden"],
    )

    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 Toneden actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Toneden 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: ["toneden"],
    },
  );

  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 Toneden 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 Toneden to LlamaIndex through Composio's Tool Router MCP layer.
Key takeaways:
- Tool Router dynamically exposes Toneden 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 Toneden MCP Agent with another framework

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

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- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
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## Frequently Asked Questions

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

With a standalone Toneden MCP server, the agents and LLMs can only access a fixed set of Toneden tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Toneden 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 Toneden tools.

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

Yes, absolutely. You can configure which Toneden 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 Toneden data and credentials are handled as safely as possible.

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