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Teamwork.com

Teamwork.com

Remote
github.com/teamworkProductivity28Updated 2d ago
Repository

About Teamwork.com

The official Teamwork.com MCP server that lets LLMs access Teamwork.com projects and perform project management operations through a standard interface. It offers HTTP and STDIO transports for cloud or desktop and development setups.

Key features

  1. 01HTTP and STDIO transport modes
  2. 02Bearer token and OAuth2 authentication
  3. 03Extensible tool framework
  4. 04Optional read-only mode
  5. 05Auto-generated tool reference documentation

Use cases

  1. 01Letting AI agents query and update Teamwork.com projects
  2. 02Connecting a desktop client to a Teamwork.com site
  3. 03Testing and debugging MCP tools from the command line

MCP support

This is an MCP server that exposes Teamwork.com actions as tools that MCP clients can discover and call.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.ai.teamwork.com/sse
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
SSEhttps://mcp.ai.teamwork.com/sseAuth required
Streamable HTTPhttps://mcp.ai.teamwork.comAuth required
Packages
ocidocker.io/teamwork/mcp:v1.60.0

Tools

Details

From the project README

Teamwork MCP Server

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

Go Report Card Go MCP

📌 Are you a Teamwork.com user wanting to connect AI tools to your Teamwork.com site right now? Jump straight to the Usage Guide for tokens, enabling MCP, and client configuration examples.

📖 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.

🤖 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

See the auto-generated Tool Reference for every create/read/update operation exposed across Projects, Desk, Spaces, and Chat, or browse the same catalogue with per-tool descriptions and a search filter at teamwork.github.io/mcp.

🚀 Available Servers

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

📡 HTTP Server

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

📖 Full HTTP Server Documentation

Quick start:

TW_MCP_SERVER_ADDRESS=:8080 go run cmd/mcp-http/main.go
💬 STDIO Server

Direct STDIO interface for desktop applications and development environments.

📖 Full STDIO Server Documentation

Quick start:

TW_MCP_BEARER_TOKEN=your-token go run cmd/mcp-stdio/main.go
🛠️ HTTP CLI

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

📖 Full HTTP CLI Documentation

Quick start:

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

📋 Prerequisites

  • Go 1.27 or later
  • Valid Teamwork.com API credentials (bearer token or OAuth2 setup)

🧪 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.

🏗️ Architecture

├── cmd/
│   ├── mcp-http/          # HTTP server implementation
│   ├── mcp-stdio/         # STDIO server implementation
│   ├── mcp-http-cli/      # CLI tool for testing via HTTP
│   ├── mcp-test/          # Walks tool handlers against a real site
│   ├── mcp-tokens/        # Token-cost report for the tool surface
│   └── docs-gen/          # Generates the tool reference (Markdown + GitHub Pages)
├── pkg/                   # Importable by other MCP servers built on this one
│   ├── auth/              # Authentication helpers (bearer & OAuth2 token handling)
│   ├── cli/               # -toolsets flag parsing
│   ├── config/            # Configuration management (env, flags), MCP server setup
│   ├── helpers/           # Shared utility functions (errors, link helpers, tool parsing)
│   ├── request/           # HTTP request primitives / Teamwork API wiring
│   ├── testutil/          # Product-neutral test mocks
│   ├── toolsets/          # Tool framework and registration logic
│   └── twctx/             # Per-request values derived from the bearer token
├── internal/              # This server's own tools, not importable elsewhere
│   ├── twprojects/        # Teamwork project/domain tools (tasks, tags, timers, etc.)
│   ├── twdesk/            # Teamwork Desk tools (tickets, customers, etc.)
│   ├── twspaces/          # Teamwork Spaces tools (spaces, pages, etc.)
│   └── twchat/            # Teamwork Chat tools (conversations, messages)
├── examples/              # Usage & integration examples (LangChain Node/Python)
├── docs/usage/            # End-user setup & connection guide
├── Makefile               # Common developer tasks
├── Dockerfile             # Container build configuration
├── CODE_OF_CONDUCT.md     # Community guidelines
├── CONTRIBUTING.md        # Contribution guide
└── SECURITY.md            # Security policy

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.