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teamwork/mcp

by Various

Teamwork.com MCP server

T

MCP

teamwork/mcp

Added 1 June 2026

#ai #artificial-intelligence #mcp #mcp-server #mcp-tools #teamwork

Overview

A Go-based MCP server that exposes Teamwork.com project management data to AI agents via the Model Context Protocol. It allows agents to read and interact with tasks, projects, and other resources from a Teamwork account.

Best for

Best for
Developers building AI assistants that need to access Teamwork.com project data

Use cases

  • Querying project tasks and statuses from an AI assistant
  • Automating project updates through natural language commands
  • Integrating Teamwork data into custom AI workflows

How to use

Install

NODE_EXTRA_CA_CERTS=letsencrypt-stg-root-x1.pem npx @modelcontextprotocol/inspector node build/index.js

Tools exposed

  • mcp-http
  • mcp-stdio
  • mcp-http-cli

Notes

A Go-based MCP server that exposes Teamwork.com project management data to AI agents via the Model Context Protocol. It allows agents to read and interact with tasks, projects, and other resources from a Teamwork account.

21 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Querying project tasks and statuses from an AI assistant
  • Automating project updates through natural language commands
  • Integrating Teamwork data into custom AI workflows

Pros

  • Lightweight Go implementation with minimal dependencies
  • Direct integration with Teamwork.com’s API
  • Open source with a permissive license

Cons

  • Limited to read and basic write operations based on Teamwork API capabilities
  • Small community and low star count may indicate limited adoption
  • Requires self-hosting and configuration of MCP client

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

Pros

  • Lightweight Go implementation with minimal dependencies
  • Direct integration with Teamwork.com's API
  • Open source with a permissive license

Cons

  • Limited to read and basic write operations based on Teamwork API capabilities
  • Small community and low star count may indicate limited adoption
  • Requires self-hosting and configuration of MCP client
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