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MCP Server
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MIT

com.teamwork/mcp MCP Server

com.teamwork/mcp

AI-powered project management for Teamwork.com—read and write projects, tasks, and team data via Claude or Cursor.

What is the com.teamwork/mcp MCP server?

The Teamwork MCP server is an official Model Context Protocol integration that connects Large Language Models to Teamwork.com, enabling AI agents to manage projects, tasks, and team collaboration. It provides standardized access to Teamwork.com's Projects, Desk, Spaces, and Chat modules through create, read, and update operations.

This server lets AI assistants like Claude interact directly with your Teamwork.com workspace. You can query projects and tasks, create work items, update statuses, and manage team data—all through natural language. It's production-ready with multiple deployment options (HTTP, STDIO, Docker) and supports both bearer token and OAuth2 authentication.

How to install com.teamwork/mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • TW_MCP_BEARER_TOKEN
    required
    secret

    API key generated from the Teamwork.com OAuth2 process: https://apidocs.teamwork.com/guides/teamwork/app-login-flow

  • TW_MCP_LOG_FORMAT

    Choose log output format between 'text' or 'json'. Default is 'text'.

  • TW_MCP_LOG_LEVEL

    Choose log level between 'debug', 'info', 'warn' or 'error'. Default is 'info'.

  • Authorization
    required
    secret

    API key generated from the Teamwork.com OAuth2 process: https://apidocs.teamwork.com/guides/teamwork/app-login-flow

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/teamwork/mcp:v1.49.0"
      ],
      "env": {
        "TW_MCP_BEARER_TOKEN": "<YOUR_TW_MCP_BEARER_TOKEN>",
        "TW_MCP_LOG_FORMAT": "<YOUR_TW_MCP_LOG_FORMAT>",
        "TW_MCP_LOG_LEVEL": "<YOUR_TW_MCP_LOG_LEVEL>",
        "Authorization": "<YOUR_AUTHORIZATION>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Projects tools — Create, read, and update operations for Teamwork.com projects, tasks, tags, and timers
  • Desk tools — Manage Teamwork Desk tickets, customers, and support workflows
  • Spaces tools — Work with Teamwork Spaces, pages, and collaborative documents
  • Chat tools — Access Teamwork Chat conversations and messages

Use cases

  • Query project status and task lists to summarize team progress in natural language
  • Create and assign tasks to team members based on conversation or email content
  • Update task statuses, add comments, and manage project timelines via AI instructions
  • Search and retrieve customer tickets from Teamwork Desk for support automation
  • Generate reports on project metrics, team workload, and task completion rates

com.teamwork/mcp MCP server FAQ

What is the Teamwork MCP server?

It's an official Model Context Protocol server that connects AI assistants (Claude, Cursor) to Teamwork.com, allowing them to read and write projects, tasks, tickets, spaces, and chat data.

Is it free?

The MCP server itself is open-source. You need a valid Teamwork.com account and API credentials (bearer token or OAuth2) to use it.

How do I install it in Cursor or Claude?

See the Usage Guide in the repository. You'll need to enable MCP in your Teamwork.com settings, generate an API token, and configure your client (Cursor/Claude) with the server's HTTP or STDIO endpoint.

What authentication methods are supported?

Bearer token authentication and OAuth2 integration with Teamwork.com are both supported.

Can I restrict it to read-only operations?

Yes, the server supports an optional read-only mode for safety, preventing create/update/delete operations.

What deployment options are available?

HTTP server (cloud/multi-client), STDIO server (desktop/development), Docker container, and an HTTP CLI tool for testing.

README (reference)

Source of truth, from the repository.

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

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