# How to integrate Parma MCP with Autogen

```json
{
  "title": "How to integrate Parma MCP with Autogen",
  "toolkit": "Parma",
  "toolkit_slug": "parma",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/parma/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/parma/framework/autogen.md",
  "updated_at": "2026-05-12T10:21:19.883Z"
}
```

## Introduction

This guide walks you through connecting Parma to AutoGen using the Composio tool router. By the end, you'll have a working Parma agent that can show your parma crm user profile details, list all dataset ids in parma ckan, fetch full metadata for all parma datasets through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Parma account through Composio's Parma MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Parma with

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

## 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 Parma
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Parma tools
- Run a live chat loop where you ask the agent to perform Parma 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 Parma MCP server, and what's possible with it?

The Parma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, and more directly to your Parma CRM account. It provides structured and secure access to your CRM data, so your agent can retrieve user profiles, access dataset catalogs, and manage critical business information on your behalf.
- Comprehensive dataset catalog access: Instantly retrieve dcat-us 1.1 compliant metadata for all datasets in your Parma open data portal, making it easy to audit or analyze your entire data catalog.
- Personalized user profile retrieval: Ask your agent to fetch the authenticated user's profile details, helping you quickly access account info or tailor interactions for specific users.
- Efficient dataset identification: Let your agent list all dataset identifiers from Parma's CKAN instance, streamlining workflows that depend on knowing what's available in your data ecosystem.
- Data-driven relationship management: Empower your agent to surface, summarize, or cross-reference CRM datasets, deepening insights into your business relationships and opportunities.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PARMA_ADD_RELATIONSHIP_TO_GROUP` | Add Relationship to Group | Tool to add a relationship to a group in Parma. Use when you need to associate an existing relationship with a group. |
| `PARMA_CREATE_NOTE` | Create Note | Tool to create a new note in the Parma account. Use when you need to add a note linked to specific relationships. |
| `PARMA_CREATE_RELATIONSHIP` | Create Relationship | Tool to create a new relationship in Parma. Use when you need to add a new person or company to your Parma account. |
| `PARMA_DATA_JSON` | Get data.json metadata | Tool to retrieve DCAT-US 1.1 compliant metadata of all datasets. Use when you need the complete catalog JSON (data.json) from Parma’s open data portal. |
| `PARMA_DELETE_RELATIONSHIP` | Delete Relationship | Tool to delete a relationship from Parma by its ID. Use when you need to remove an existing relationship between entities. Returns success confirmation after deletion (HTTP 204). |
| `PARMA_GET_PIPELINE` | Get Pipeline | Tool to retrieve a pipeline by its ID. Use when you need to fetch details about a specific pipeline. |
| `PARMA_GET_RELATIONSHIP` | Get Relationship | Tool to retrieve a relationship by its unique ID. Use when you need to get detailed information about a specific relationship. |
| `PARMA_GET_STAGE` | Get Stage | Tool to retrieve a stage by its unique identifier. Use when you need to fetch details about a specific stage in a pipeline. |
| `PARMA_GET_USER` | Get User by ID | Tool to retrieve a user by their unique ID. Use when you need to fetch details for a specific user. |
| `PARMA_GET_USER_PROFILE` | Get User Profile | Tool to retrieve the authenticated user's profile. Use after obtaining a valid auth token to fetch current user account details. |
| `PARMA_LIST_DEALS` | List Deals | Tool to retrieve all deals from the Parma account. Use when you need to list deals, filter by pagination, or get an overview of all deals in the system. |
| `PARMA_LIST_GROUPS` | List Groups | Tool to retrieve all groups in the Parma account. Use when you need to list groups, optionally filtered by a search query. |
| `PARMA_LIST_NOTES` | List Notes | Tool to retrieve all notes from the Parma account. Use when you need to list or search through notes associated with relationships. |
| `PARMA_LIST_PIPELINES` | List Pipelines | Tool to list all pipelines in the Parma account. Use when you need to retrieve available pipelines and their details. |
| `PARMA_LIST_RELATIONSHIP_GROUPS` | List Relationship Groups | Tool to retrieve all groups linked to a specific relationship. Use when you need to see which groups are associated with a given relationship ID. |
| `PARMA_LIST_RELATIONSHIP_NOTES` | List Relationship Notes | Tool to list all notes linked to a relationship. Use when you need to retrieve all notes associated with a specific relationship ID. |
| `PARMA_LIST_RELATIONSHIPS` | List Relationships | Tool to list all relationships in the Parma account. Use when you need to retrieve and filter relationships by various criteria such as name, type, or contact details. |
| `PARMA_LIST_STAGES` | List Stages | Tool to retrieve all stages in the Parma account. Use when you need to list pipeline stages or check available stage configurations. |
| `PARMA_LIST_USERS` | List Users | Tool to list all users in the Parma account. Use when you need to retrieve the complete list of users with their IDs, names, and email addresses. |
| `PARMA_PACKAGE_LIST` | List Parma CKAN datasets | Tool to retrieve all dataset identifiers from the Parma CKAN instance. Use when you need to list every available dataset ID. |
| `PARMA_REMOVE_RELATIONSHIP_FROM_GROUP` | Remove Relationship From Group | Tool to remove a relationship from a group. Use when you need to dissociate a relationship from a specific relationship group. Returns success status on completion (HTTP 204). |
| `PARMA_UPDATE_NOTE` | Update Note | Tool to update an existing note in the Parma account. Use when you need to modify the content, datetime, or relationships of a specific note. |
| `PARMA_UPDATE_RELATIONSHIP` | Update Relationship | Tool to update an existing relationship in the Parma account. Use when you need to modify relationship details such as name, description, type, or associated groups. |

## Supported Triggers

None listed.

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

The Parma MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Parma. Instead of manually wiring Parma APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Parma account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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 dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Parma via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

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 Parma connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Parma tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```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 Parma session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["parma"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

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
```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")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Parma tools from the workbench
```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 Parma assistant agent with MCP tools
    agent = AssistantAgent(
        name="parma_assistant",
        description="An AI assistant that helps with Parma operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Parma 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
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Parma 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")
```

## Complete Code

```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 Parma session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["parma"]
    )
    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 Parma assistant agent with MCP tools
        agent = AssistantAgent(
            name="parma_assistant",
            description="An AI assistant that helps with Parma 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 Parma 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 Parma 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 Parma, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Parma MCP Agent with another framework

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

## Related Toolkits

- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.
- [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.
- [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.
- [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently.
- [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing.
- [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.
- [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities.
- [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place.
- [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources.
- [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations.
- [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface.
- [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently.
- [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools.
- [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data.
- [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place.
- [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process.
- [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools.

## Frequently Asked Questions

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

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

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

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 Parma tools.

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

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

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