How to integrate Mistral ai MCP with Autogen

Connect Autogen to Mistral ai MCP. Summarize this research paper in simple terms, generate python code for sorting a list, and more using natural language, with authentication handled for you.

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Mistral ai

Api Key

Mistral ai is a research lab offering cutting-edge open-source language models and developer APIs. It empowers teams to add state-of-the-art natural language capabilities to any app or workflow.

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Introduction

This guide walks you through connecting Mistral ai to AutoGen using the Composio tool router. By the end, you'll have a working Mistral ai agent that can summarize this research paper in simple terms, generate python code for sorting a list, explain the difference between ai and ml through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Mistral ai account through Composio's Mistral ai MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Install the required dependencies for Autogen and Composio
Initialize Composio and create a Tool Router session for Mistral ai
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Mistral ai tools
Run a live chat loop where you ask the agent to perform Mistral ai operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

Multi-Agent Systems: Build collaborative agent workflows
MCP Workbench: Native support for Model Context Protocol tools
Streaming HTTP: Connect to external services through streamable HTTP
AssistantAgent: Pre-built agent class for tool-using assistants

What is the Mistral ai MCP server, and what's possible with it?

The Mistral ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mistral ai account. It provides structured and secure access to your Mistral AI models, so your agent can perform actions like generating text, summarizing content, answering questions, extracting structured information, and handling advanced language tasks on your behalf.

Text generation and completion: Have your agent produce coherent, context-aware text responses, complete prompts, or generate creative content leveraging Mistral's advanced models.
Summarization and paraphrasing: Ask your agent to summarize lengthy documents or rephrase input text for improved clarity or brevity.
Question answering and information extraction: Let your agent answer questions, extract key facts, or pull structured data from unstructured content automatically.
Content classification and sentiment analysis: Enable your agent to categorize text, detect topics, or analyze sentiment to inform downstream workflows.
Conversational AI and dialogue management: Build rich, multi-turn conversations or chatbots that handle context, intent, and user queries seamlessly using Mistral's models.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Mistral ai account you can connect to Composio
Some basic familiarity with Autogen and Python async

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard 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.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

composio connects your agent to Mistral ai via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

Set up environment variables

bash

COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

COMPOSIO_API_KEY is required to talk to Composio
OPENAI_API_KEY is used by Autogen's OpenAI client
USER_ID is how Composio identifies which user's Mistral ai connections to use

Import dependencies and create Tool Router session

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Mistral ai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["mistral_ai"]
    )
    url = session.mcp.url

What's happening:

load_dotenv() reads your .env file
Composio(api_key=...) initializes the SDK
create(...) creates a Tool Router session that exposes Mistral ai tools
session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python

# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

url points to the Tool Router MCP endpoint from Composio
timeout is the HTTP timeout for requests
sse_read_timeout controls how long to wait when streaming responses
terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python

# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Mistral ai assistant agent with MCP tools
    agent = AssistantAgent(
        name="mistral_ai_assistant",
        description="An AI assistant that helps with Mistral ai operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

OpenAIChatCompletionClient wraps the OpenAI model for Autogen
McpWorkbench connects the agent to the MCP tools
AssistantAgent is configured with the Mistral ai tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Mistral ai related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

What's happening:

The script prompts you in a loop with You:
Autogen passes your input to the model, which decides which Mistral ai tools to call via MCP
agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Mistral ai and AutoGen:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Mistral ai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["mistral_ai"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Mistral ai assistant agent with MCP tools
        agent = AssistantAgent(
            name="mistral_ai_assistant",
            description="An AI assistant that helps with Mistral ai operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Mistral ai related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Mistral ai through Composio's Tool Router and MCP. From here you can:

Add more toolkits to the toolkits list, for example notion or hubspot
Refine the agent description to point it at specific workflows
Wrap this script behind a UI, Slack bot, or internal tool

Once the pattern is clear for Mistral ai, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

Every Mistral ai action and event your agent gets out of the box.

Append to conversation

Tool to append new entries to an existing conversation in Mistral AI.

Archive Fine-Tuned Model

Archive a fine-tuned model so it is unavailable until restored.

Count Chat Completion Field Options

Count values of a chat completion field after optional filtering.

Create Agent

Tool to create a new AI agent with custom configuration (Beta).

Create Agents Completion

Tool to generate completions using a Mistral AI agent with specific instructions and tools.

Create Audio Transcription

Transcribe audio files to text using Mistral AI's Voxtral models.

Create Batch Job

Create and queue a Mistral batch inference job.

Create Chat Completion

Generate conversational responses from Mistral AI models.

Create Chat Moderation

Tool to classify chat content for moderation purposes across 9 categories.

Create Embeddings

Tool to generate vector embeddings for input text using Mistral AI embedding models.

Create FIM Completion

Generate code completions using fill-in-the-middle functionality.

Create library

Tool to create a new document library.

Create library share

Create or update sharing permissions for a library.

Create Moderation

Tool to classify text content for moderation purposes across 9 categories.

Create OCR

Extract text and structured data from images and documents using Mistral AI's OCR capabilities.

Create or Update Agent Alias

Tool to create or update an agent version alias.

Create Speech

Generate JSON-encoded speech audio from text without streaming.

Delete agent

Permanently deletes an agent by its ID (Beta feature).

Delete Conversation

Tool to delete a conversation by its ID (Beta).

Delete File

Delete a file by its ID from Mistral AI.

Delete library

Permanently deletes a library and all of its documents from Mistral AI.

Delete library document

Permanently deletes a document from a Mistral AI library.

Delete library share

Remove sharing permissions for a library from a user, workspace, or organization.

Download File

Download the content of a previously uploaded file from Mistral AI.

Get Agent

Tool to retrieve details of a specific Mistral AI agent by its ID.

Get Agent Version

Retrieve a specific version of an agent (Beta).

Get Batch Job

Get details and optionally inline results for a batch job.

Get campaign

Retrieve an observability campaign by its UUID.

Get campaign status

Return the execution status of an observability campaign.

Get Chat Completion Event

Retrieve one observability chat completion event by UUID.

Get Chat Completion Field Options

Get available values for a chat completion field and filter operator.

Get Connector

Get a connector by ID or name without requesting customer data or secrets.

Get Connector Authentication Methods

Get a connector's public authentication methods and required headers.

Get Conversation

Tool to retrieve details of a specific conversation.

Get Conversation History

Retrieve the full history of a conversation in Mistral AI.

Get Conversation Messages

Retrieve all messages from a Mistral AI conversation.

Get dataset

Retrieve an observability dataset by its UUID.

Get dataset import task

Retrieve the status and progress of one dataset import task.

Get dataset record

Retrieve a conversation record from an observability dataset.

Get document extracted text URL

Retrieve a signed URL to download the extracted text from a document in a Mistral AI library.

Get document signed URL

Get a signed URL to download a document from a Mistral AI library.

Get Document Status

Retrieve the processing status of a document in a Mistral AI library.

Get Document Text Content

Retrieve the extracted text content of a specific document from a Mistral AI library (Beta).

Get File Signed URL

Get a time-limited signed URL for downloading a file from Mistral AI.

List Fine Tuning Jobs

List fine-tuning jobs with optional filtering and pagination.

Get Judge

Retrieve a saved observability judge by UUID.

Get library

Retrieve detailed information about a specific library.

Get Library Document

Retrieve metadata for a specific document in a Mistral AI library.

Get Model

Tool to retrieve detailed information about a specific Mistral AI model by its ID.

Get Similar Chat Completion Events

Retrieve observability events similar to a specified event.

Get Voice

Get saved voice metadata without sample audio.

Get Voice Sample

Download a saved voice's sample as a WAV audio file.

Get Workflow

Retrieve a workflow definition and its active-worker status by name or ID.

Get Workflow Deployment

Retrieve a workflow deployment and its registered workers.

Get Workflow Execution

Retrieve the current state and result of a workflow execution.

Get Workflow Execution History

Retrieve the event history for a workflow execution.

Get Workflow Execution OpenTelemetry Trace

Retrieve raw OpenTelemetry trace data for a workflow execution.

Get Workflow Execution Trace Events

Retrieve trace events for a workflow execution.

Get Workflow Execution Trace Summary

Retrieve a hierarchical trace summary for a workflow execution.

Get Workflow Metrics

Retrieve aggregate execution, error, latency, and retry metrics for a workflow.

Get Workflow Registration

Retrieve one workflow registration and its worker availability.

Get Workflow Run

Retrieve a workflow run's status, timing, execution IDs, and result.

Get Workflow Run History

Retrieve the event history for a workflow run.

Judge Chat Completion Event

Evaluate one chat completion event with an inline judge definition.

Judge Conversation

Run a saved observability judge against a supplied conversation.

Judge dataset record

Evaluate one dataset record with a supplied non-durable judge definition.

List agent aliases

Retrieve all aliases for an agent version.

List Agents

Tool to list all configured agents (Beta).

List Agent Versions

List all versions of a specific agent.

List Batch Jobs

Tool to retrieve a list of all batch jobs with optional filtering and pagination.

List campaigns

List observability campaigns, optionally filtering them by a text query.

List campaign selected events

List chat-completion events selected by an observability campaign.

List Chat Completion Fields

List fields and operators available for observability event filtering.

List Connectors

List custom MCP connectors without returning connection secrets.

List Connector Tools

List tools exposed by an MCP connector.

List Conversations

List all created conversations (Beta).

List dataset import tasks

List import tasks associated with an observability dataset.

List dataset records

List conversation records stored in an observability dataset.

List datasets

List observability datasets, optionally filtering them by a text query.

List Files

Tool to list all files available to the user.

List Judges

List saved observability judges with filtering, search, and pagination.

List libraries

List all document libraries accessible to your organization.

List Library Documents

List all documents in a Mistral AI document library.

List library shares

List all sharing permissions for a document library.

List Models

Tool to retrieve all available Mistral AI models including base models and fine-tuned models.

List Voices

List saved voices without sample audio data.

List Workflow Deployments

List workflow worker deployments, optionally filtering to active deployments or a workflow.

List Workflow Events

List durable workflow lifecycle and task events with cursor pagination.

List Workflow Registrations

List workflow registrations with sharing, activity, archival, and cursor filters.

List Workflow Runs

List workflow runs with status, search, and cursor pagination filters.

List Workflow Schedules

List workflow schedules with timing, time zone, and execution policy details.

Query Workflow Execution

Invoke a read-only query handler on a running workflow execution.

Reprocess document

Reprocess a document in a Mistral AI library (Beta).

Restart Conversation

Tool to restart a conversation from a specific point (Beta).

Retrieve File

Retrieve metadata of a file uploaded to Mistral AI.

Search Chat Completion Events

Search observability chat completion events and return previews or only IDs.

Start Conversation

Tool to start a new conversation with a Mistral AI agent or base model.

Unarchive Fine-Tuned Model

Restore an archived fine-tuned model.

Update Agent

Tool to update an existing agent's configuration.

Update agent version

Tool to update the current version of an agent (Beta).

Update Fine-Tuned Model

Update the name or description of a fine-tuned model.

Update library

Tool to update an existing document library's properties.

Update library document

Update the metadata of a document in a Mistral AI library.

Upload File

Upload a file to Mistral AI for use in fine-tuning, batch processing, or OCR.

Upload Library Document

Upload a document to a Mistral AI library for use with RAG-enabled agents.

FRAMEWORKS

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Claude Code

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Cursor

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ChatGPT

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Claude Cowork

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Antigravity

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OpenAI Agents SDK

Use Mistral ai MCP with OpenAI Agents SDK

Claude Agent SDK

Use Mistral ai MCP with Claude Agent SDK

Codex

Use Mistral ai MCP with Codex

Grok Build

Use Mistral ai MCP with Grok Build

VS Code

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OpenCode

Use Mistral ai MCP with OpenCode

OpenClaw

Use Mistral ai MCP with OpenClaw

Hermes

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Atomic Agent

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Google ADK

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LangChain

Use Mistral ai MCP with LangChain

Vercel AI SDK

Use Mistral ai MCP with Vercel AI SDK

Mastra AI

Use Mistral ai MCP with Mastra AI

LlamaIndex

Use Mistral ai MCP with LlamaIndex

CrewAI

Use Mistral ai MCP with CrewAI

Pydantic AI

Use Mistral ai MCP with Pydantic AI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Composio

No Auth

Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.

Composio search

No Auth

Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.

Perplexityai

Api Key

Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.

Browser tool

No Auth

Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 Mistral ai tools.

Yes, absolutely. You can configure which Mistral ai 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.

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 Mistral ai data and credentials are handled as safely as possible.

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How to integrate Mistral ai MCP with Autogen

Connect Mistral ai without auth hassles

Introduction

Also integrate Mistral ai with

TL;DR

What is AutoGen?

What is the Mistral ai MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Mistral ai MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Codex

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

Explore Other Toolkits

Composio

Composio search

Perplexityai

Browser tool

Frequently asked questions

What are the differences in Tool Router MCP and Mistral ai MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Mistral ai while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Mistral ai.It takes 30 seconds.