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Mattermost Team Collaboration MCP Server and Agent for Agentic AI!

Project description

Mattermost MCP

Status Version License

Mattermost enterprise messaging collaboration server. Built with the highest architectural standards, incorporating dynamic facades, custom API routing, and FastMCP tool decoration.

Documentation — Installation, deployment, usage across the API, CLI, and MCP interfaces, the companion agent server, and guidance for provisioning the Mattermost platform are maintained in the official documentation.

Table of Contents


Overview

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


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.

⚙️ 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.


Installation

Install in editable mode directly inside your active workspace:

pip install -e .[all]

Or via the uv tool:

uv pip install -e .

Usage

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

import asyncio
from mattermost_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 mattermost_mcp.mcp_server

Configuration

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

Variable Description Default Required
MATTERMOST_URL Mattermost Server API v4 endpoint URL http://localhost:8065 Yes
MATTERMOST_TOKEN Personal Access Token or Bot Token mattermost_api_access_token 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.


MCP Tools

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

Tool Name Description Parameters
get_me Get information about the connected bot user None
get_teams List teams that the connected bot is a member of None
get_channels List channels in a team team_id: str
create_post Create a new post/message in a channel channel_id: str, message: str, root_id: str = None

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


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])

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 MATTERMOST_URL="http://localhost:8065"
    
  4. Run: python -m mattermost_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

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 server and agent, Compose, Caddy + Technitium, env config
Usage the MCP tools, the Api client, the CLI
Backing Platform deploy Mattermost with Docker
Overview dynamic facade and FastMCP integration
Architecture dynamic facade, FastMCP, agent server
Concepts concept registry (CONCEPT:MM-*)

Contributing

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

pre-commit run --all-files

License

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

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