# How to integrate Parma MCP with Pydantic AI

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

## Introduction

This guide walks you through connecting Parma to Pydantic AI 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 Pydantic AI 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:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Parma
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Parma workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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 agent to Parma. It provides structured and secure access so your agent can perform Parma 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 starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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 the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Parma
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Parma
- MCPServerStreamableHTTP connects to the Parma MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Parma tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Parma
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["parma"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Parma endpoint
- The agent uses GPT-5 to interpret user commands and perform Parma operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
parma_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[parma_mcp],
    instructions=(
        "You are a Parma assistant. Use Parma tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Parma API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Parma.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Parma
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["parma"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    parma_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[parma_mcp],
        instructions=(
            "You are a Parma assistant. Use Parma tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Parma.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Parma through Composio's Tool Router. With this setup, your agent can perform real Parma actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Parma for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## 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 Pydantic AI?

Yes, you can. Pydantic AI 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)
