Teamwork MCP Server

Teamwork MCP Server

Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

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Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

Key Features

Supports both HTTP and STDIO transport modes for flexible deployment options
Secure authentication with bearer token and OAuth2 integration
Extensible toolset architecture for customizable AI operations
Production-ready design with logging, monitoring, and observability
Optional read-only mode for safe AI integration
Multiple server modes including command-line interface
Standardized interface for LLM interaction with project management tools
Documentation and examples for quick setup
Comprehensive test suite for reliability
Support for debugging using external MCP Inspector tool

Use Cases

Connecting Large Language Models to Teamwork.com for context-aware task automation
Enabling AI assistants to fetch and update project information on Teamwork.com
Integrating chatbots or IDE plugins (like Copilot, Gemini, Claude) with Teamwork.com projects
Automating routine project management tasks via AI agents in enterprise environments
Building custom workflow automation tools leveraging Teamwork.com data
Testing and debugging MCP endpoints using CLI and external inspector utilities
Securing third-party client access to Teamwork.com through bearer/OAuth2 authentication
Deploying LLM-powered applications in production with auditing and observability
Restricting AI integrations to read-only access for sensitive project environments
Extending Teamwork.com capabilities with new AI-driven tools and actions

README

Teamwork MCP Server

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

Go MCP

๐Ÿ“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.

๐Ÿ“– 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.

๐Ÿค– 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.

โœจ 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

๐Ÿš€ Available Servers

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

๐Ÿ“ก HTTP Server

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

๐Ÿ“– Full HTTP Server Documentation

Quick start:

bash
TW_MCP_SERVER_ADDRESS=:8080 go run cmd/mcp-http/main.go

๐Ÿ’ฌ STDIO Server

Direct STDIO interface for desktop applications and development environments.

๐Ÿ“– Full STDIO Server Documentation

Quick start:

bash
TW_MCP_BEARER_TOKEN=your-token go run cmd/mcp-stdio/main.go

๐Ÿ› ๏ธ HTTP CLI

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

๐Ÿ“– Full HTTP CLI Documentation

Quick start:

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

๐Ÿ“‹ Prerequisites

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

๐Ÿงช Development & Testing

Running Tests

bash
# Run all tests
go test ./...

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

MCP Inspector

For debugging purposes, use the MCP Inspector tool:

bash
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.

๐Ÿ—๏ธ Architecture

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

Star History

Star History Chart

Repository Owner

Teamwork
Teamwork

Organization

Repository Details

Language Go
Default Branch main
Size 27,079 KB
Contributors 4
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

Go
98.78%
Dockerfile
0.84%
Makefile
0.37%

Tags

Topics

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

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