Mattermost MCP Server

Mattermost MCP Server

A Model Context Protocol server that connects to Mattermost, allowing AI models to monitor and process messages from specific teams and channels in real-time via SSE or Standard I/O transport modes.

Category
Visit Server

README

mattermost-mcp-server

This project implements a Model Context Protocol (MCP) server for Mattermost integration. It connects to Mattermost API endpoints to retrieve and process various information, making it available through standard MCP transports.

Features

  • Connects to Mattermost API endpoints
  • Supports multiple transport modes:
    • SSE (Server-Sent Events)
    • Standard I/O
  • Real-time message processing
  • Team and channel-specific monitoring
  • Secure token-based authentication

Requirements

  • Node.js >= 22
  • npm >= 10
  • dotenvx

Setup

  1. Clone this repository:
git clone https://github.com/kakehashi-inc/mattermost-mcp-server.git
cd mattermost-mcp-server
  1. Install dependencies:
npm install
  1. Set up your environment variables:
# Create .env file
cp .env.example .env

# Encrypt your .env file (optional but recommended for production)
dotenvx encrypt

Required environment variables:

  • MCP_PORT: Port number for SSE transport mode (default: 8201)
  • MATTERMOST_ENDPOINT: Your Mattermost server URL
  • MATTERMOST_TOKEN: Your Mattermost authentication token
  • MATTERMOST_TEAM_ID: The ID of the team to monitor
  • MATTERMOST_CHANNELS: Comma-separated list of channel names to monitor
  1. Build the server:
npm run build

Usage

The server can be run in two transport modes:

SSE Transport Mode

npm start

Standard I/O Transport Mode

npm start -- --stdio

Development

  • npm run dev: Start the server in development mode with hot reload
  • npm run lint: Run ESLint
  • npm run format: Format code using Prettier
  • npm test: Run tests
  • npm run inspect: Run MCP inspector

References

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured