twenty-mcp 0.33.0

Twenty CRM REST/GraphQL MCP Server for Agentic AI!

Twenty MCP

Documentation — Installation, deployment, usage across the MCP, API, and agent interfaces, and guidance for provisioning the Twenty CRM platform are maintained in the official documentation.

Twenty CRM Customer Relationship Management system orchestrator. Built with the highest architectural standards, incorporating dynamic facades, custom API routing, and FastMCP tool decoration.

Table of Contents

• Overview
• Features
• Installation
• Usage
• Configuration
• MCP Tools
• Architecture
• Deployment
• Contributing
• License

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Overview

Twenty MCP provides a high-performance, model-optimized interface to Twenty capabilities. It isolates the model from underlying API transport complexity, ensuring safe, idempotent, and highly traceable system interactions.

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Features

• Dynamic Facade Orchestration: Integrates multi-inheritance clients cleanly under a single facade.
• Battle-Tested Resilience: Out-of-the-box credential authentication, connection polling, and request retry strategies.
• FastMCP Declarative Tools: Fast, native schema registration with full inline validation.
• Complete Test Intent Diversity: Deep, automated unit, integration, and mock tests ensuring high code coverage.

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⚙️ Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows you to restrict the set of exposed tools in order to prevent blowing up the LLM's context window.

You can configure tool filtering via multiple input channels:

• CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
• Environment Variables: Define standard environment variables:
  • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
  • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
• HTTP SSE Request Headers: Pass custom headers during transport initialization:
  • x-mcp-enabled-tools / x-mcp-disabled-tools
  • x-mcp-enabled-tags / x-mcp-disabled-tags
• HTTP SSE Request Query Parameters: Append query parameters directly to your transport connection URL:
  • ?tools=tool1,tool2
  • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.

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Installation

Install in editable mode directly inside your active workspace:

pip install -e .[all]

Or via the uv tool:

uv pip install -e .

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Usage

You can launch the FastMCP server in stdio mode via Python module execution:

import asyncio
from twenty_mcp.mcp_server import get_mcp_instance

async def main():
    mcp = get_mcp_instance()
    # Execute stdio loop or launch server
    print("MCP Server ready.")

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

For direct shell launch, execute:

python -m twenty_mcp.mcp_server

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Configuration

The package is fully configurable via the environment variables listed below:

Variable	Description	Default	Required
TWENTY_URL	Twenty CRM Base Server URL	http://localhost:3000	Yes
TWENTY_TOKEN	Developer authentication token	twenty_developer_access_token	Yes
TWENTY_MCP_BASE_URL	Base API URL to query	http://localhost:3000/api	Yes
TWENTY_MCP_USERNAME	Auth username for service	admin	Yes
TWENTY_MCP_PASSWORD	Auth password for service	secure_password	Yes
TWENTY_MCP_SSL_VERIFY	SSL verification flag	True	Yes
CRMTOOL	CRM Tool Enabled Flag	True	Yes

A local template is supplied inside .env.example. Copy this file as .env and fill out your specific service endpoint parameters before starting execution.

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MCP Tools

The following declarative FastMCP tools are registered and available to upstream AI agents:

Tool Name	Description	Parameters
get_people	Retrieve list of people in CRM	limit: int = 50
create_person	Create a new person in CRM	first_name: str, last_name: str, email: str
get_companies	Retrieve list of companies in CRM	limit: int = 50
execute_gql	Execute raw arbitrary GraphQL query	query: str, variables: dict = None

See docs/overview.md or docs/concepts.md for deeper operational examples.

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Architecture

This package uses the standardized Agent-Utilities dynamic facade architecture:

graph TD
    User([User Agent]) --> Server[FastMCP Server]
    Server --> Facade[Api Dynamic Facade]
    Facade --> ClientBase[ApiClientBase]
    Facade --> Auth[Credentials Auth Handler]
    ClientBase --> Service([External Service API])

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Deployment

Bare-Metal (Standard pip)

1. Set up your Python virtual environment (>= 3.10).
2. Install the package: pip install .[all]
3. Export credentials:

   export TWENTY_URL="http://localhost:3000"
   

4. Run: python -m twenty_mcp.mcp_server

Container (Docker Compose)

A standard compose structure is provided inside the docker/ folder. Build and deploy:

docker compose -f docker/compose.yml up --build -d

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Additional Deployment Options

twenty-mcp can also run as a local container (Docker / Podman / uv) or be consumed from a remote deployment. The Deployment guide has full, copy-paste mcp_config.json for all four transports — stdio, streamable-http, local container / uv, and remote URL:

• Local container / uv — launch the server from mcp_config.json via uvx, docker run, or podman run, or point at a local streamable-http container by url.
• Remote URL — connect to a server deployed behind Caddy at http://twenty-mcp.arpa/mcp using the "url" key.

Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page	Contents
Installation	pip, source, extras, prebuilt Docker image
Deployment	run the MCP and agent servers, Compose, Caddy + Technitium, env config
Usage	the MCP tools, the Api client, the A2A agent
Backing Platform	deploy Twenty CRM with Docker
Overview	the dynamic facade architecture
Concepts	concept registry (CONCEPT:TWENTY-*)

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Contributing

Please audit all code changes against ecosystem guidelines in CONTRIBUTING.md if available, and run:

pre-commit run --all-files

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License

This project is licensed under the MIT License. See the LICENSE file for complete details.