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Published: Sep 10, 2025 License: MIT

README ΒΆ

Teamwork MCP Server

Model Context Protocol server for Teamwork.com integration with Large Language Models

Go MCP

πŸ“Œ Are you a Teamwork.com user wanting to connect AI tools (Claude Desktop, VS Code Copilot Chat, Gemini, etc.) to your Teamwork.com site right now? Jump straight to the Usage Guide (How to Connect) for tokens, enabling MCP and client configuration examples.

πŸ“– Overview

This MCP (Model Context Protocol) server enables seamless integration between Large Language Models and Teamwork.com. It provides a standardized interface for LLMs to interact with Teamwork.com projects, allowing AI agents to perform various project management operations.

πŸ€– What is MCP?

Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. This server describes all the actions available in Teamwork.com (tools) in a way that LLMs can understand and execute through AI agents.

✨ Features

  • Multiple Transport Modes: HTTP and STDIO interfaces for different deployment scenarios
  • Secure Authentication: Bearer token and OAuth2 integration with Teamwork.com
  • Tool Framework: Extensible toolset architecture for adding new capabilities
  • Production Ready: Comprehensive logging, monitoring, and observability
  • Read-Only Mode: Optional restriction to read-only operations for safety

πŸš€ Available Servers

This project provides three different ways to interact with the Teamwork.com MCP server:

πŸ“‘ HTTP Server

Production-ready HTTP server for cloud deployments and multi-client support.

πŸ“– Full HTTP Server Documentation

Quick start:

TW_MCP_SERVER_ADDRESS=:8080 go run cmd/mcp-http/main.go
πŸ’¬ STDIO Server

Direct STDIO interface for desktop applications and development environments.

πŸ“– Full STDIO Server Documentation

Quick start:

TW_MCP_BEARER_TOKEN=your-token go run cmd/mcp-stdio/main.go
πŸ› οΈ HTTP CLI

Command-line tool for testing and debugging MCP server functionality.

πŸ“– Full HTTP CLI Documentation

Quick start:

go run cmd/mcp-http-cli/main.go -mcp-url=https://mcp.example.com list-tools

πŸ“‹ Prerequisites

  • Go 1.25 or later
  • Valid Teamwork.com API credentials (bearer token or OAuth2 setup)

πŸ§ͺ Development & Testing

Running Tests
# Run all tests
go test ./...

# Run specific package tests
go test ./internal/twprojects/
MCP Inspector

For debugging purposes, use the MCP Inspector tool:

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

[!IMPORTANT] Note: The NODE_EXTRA_CA_CERTS environment variable is required when using OAuth2 authentication with the Let's Encrypt certification authority. Download the certificate here.

πŸ—οΈ Architecture

β”œβ”€β”€ cmd/
β”‚   β”œβ”€β”€ mcp-http/          # HTTP server implementation
β”‚   β”œβ”€β”€ mcp-stdio/         # STDIO server implementation
β”‚   └── mcp-http-cli/      # CLI tool for testing via HTTP
β”œβ”€β”€ internal/
β”‚   β”œβ”€β”€ auth/              # Authentication helpers (bearer & OAuth2 token handling)
β”‚   β”œβ”€β”€ config/            # Configuration management (env, flags)
β”‚   β”œβ”€β”€ helpers/           # Shared utility functions (errors, link helpers, tool parsing)
β”‚   β”œβ”€β”€ request/           # HTTP request primitives / Teamwork API wiring
β”‚   β”œβ”€β”€ toolsets/          # Tool framework and registration logic
β”‚   └── twprojects/        # Teamwork project/domain tools (tasks, tags, timers, etc.)
β”œβ”€β”€ examples/              # Usage & integration examples (LangChain Node/Python)
β”œβ”€β”€ usage.md               # End-user setup & connection guide
β”œβ”€β”€ Makefile               # Common developer tasks
β”œβ”€β”€ Dockerfile             # Container build configuration
β”œβ”€β”€ CODE_OF_CONDUCT.md     # Community guidelines
β”œβ”€β”€ CONTRIBUTING.md        # Contribution guide
└── SECURITY.md            # Security policy

Directories ΒΆ

Path Synopsis
cmd
mcp-http command
mcp-http-cli command
mcp-stdio command
internal
toolsets
Package toolsets provides a framework for managing collections of tools.
Package toolsets provides a framework for managing collections of tools.

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