
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.
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
- Clone this repository:
git clone https://github.com/kakehashi-inc/mattermost-mcp-server.git
cd mattermost-mcp-server
- Install dependencies:
npm install
- 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 URLMATTERMOST_TOKEN
: Your Mattermost authentication tokenMATTERMOST_TEAM_ID
: The ID of the team to monitorMATTERMOST_CHANNELS
: Comma-separated list of channel names to monitor
- 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 reloadnpm run lint
: Run ESLintnpm run format
: Format code using Prettiernpm test
: Run testsnpm run inspect
: Run MCP inspector
References
License
MIT
Recommended Servers
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.
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.
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.

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

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.