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jagan-shanmugam/mattermost-mcp-host

by Various

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.

J

MCP

jagan-shanmugam/mattermost-mcp-host

Added 1 June 2026

#langgraph #llm #mattermost #mcp #mcp-clients

Overview

This tool integrates Mattermost with Model Context Protocol (MCP) servers using a LangGraph-based agent. It allows users to interact with MCP tools and resources directly from Mattermost channels.

Best for

Best for
Teams using Mattermost who want to extend it with MCP-based tools and agents

Use cases

  • Querying external data sources through MCP servers from Mattermost
  • Automating workflows by invoking MCP tools via chat commands
  • Building conversational agents that leverage MCP resources in team collaboration

How to use

Install

mattermost-mcp-host

Tools exposed

  • uv
  • git

Tested with

ChatGPT

Example client config

{\n  "servers": [\n    {\n      "name": "my-server",\n      "url": "http://localhost:8000",\n      "transport": "stdio"\n    }\n  ]\n}

Notes

This tool integrates Mattermost with Model Context Protocol (MCP) servers using a LangGraph-based agent. It allows users to interact with MCP tools and resources directly from Mattermost channels.

34 stars on GitHub. Last updated 2025-04-07. Licensed MIT.

Use cases

  • Querying external data sources through MCP servers from Mattermost
  • Automating workflows by invoking MCP tools via chat commands
  • Building conversational agents that leverage MCP resources in team collaboration

Pros

  • Bridges Mattermost with the growing MCP ecosystem
  • Leverages LangGraph for flexible agent orchestration
  • Open source with active development (34 stars)

Cons

  • Requires running and managing separate MCP servers
  • Limited to Python environment and LangGraph framework
  • Small community and documentation may be sparse

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Bridges Mattermost with the growing MCP ecosystem
  • Leverages LangGraph for flexible agent orchestration
  • Open source with active development (34 stars)

Cons

  • Requires running and managing separate MCP servers
  • Limited to Python environment and LangGraph framework
  • Small community and documentation may be sparse

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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