Server data from the Official MCP Registry
The Teamwork.com official MCP server helps teams efficiently manage client projects with AI.
About
The Teamwork.com official MCP server helps teams efficiently manage client projects with AI.
Remote endpoints: sse: https://mcp.ai.teamwork.com/sse streamable-http: https://mcp.ai.teamwork.com
Security Report
Valid MCP server (1 strong, 1 medium validity signals). 3 known CVEs in dependencies Imported from the Official MCP Registry. Trust signals: 9 highly-trusted packages. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified ยท Open access ยท 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: TW_MCP_BEARER_TOKEN
Environment variable: TW_MCP_LOG_FORMAT
Environment variable: TW_MCP_LOG_LEVEL
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-teamwork-mcp": {
"env": {
"TW_MCP_LOG_LEVEL": "your-tw-mcp-log-level-here",
"TW_MCP_LOG_FORMAT": "your-tw-mcp-log-format-here",
"TW_MCP_BEARER_TOKEN": "your-tw-mcp-bearer-token-here"
},
"url": "https://mcp.ai.teamwork.com/sse"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Teamwork MCP Server
Model Context Protocol server for Teamwork.com integration with Large Language Models
๐ 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.
๐ 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.
๐ค 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.
โจ 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.
๐ Available Servers
This project provides three different ways to interact with the Teamwork.com MCP server:
๐ก HTTP Server
Production-ready HTTP server for cloud deployments and multi-client support.
๐ Full HTTP Server Documentation
Quick start:
TW_MCP_SERVER_ADDRESS=:8080 go run cmd/mcp-http/main.go
๐ฌ STDIO Server
Direct STDIO interface for desktop applications and development environments.
๐ Full STDIO Server Documentation
Quick start:
TW_MCP_BEARER_TOKEN=your-token go run cmd/mcp-stdio/main.go
๐ ๏ธ HTTP CLI
Command-line tool for testing and debugging MCP server functionality.
๐ Full HTTP CLI Documentation
Quick start:
go run cmd/mcp-http-cli/main.go -mcp-url=https://mcp.example.com list-tools
๐ Prerequisites
- Go 1.27 or later
- Valid Teamwork.com API credentials (bearer token or OAuth2 setup)
๐งช 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_CERTSenvironment variable is required when using OAuth2 authentication with the Let's Encrypt certification authority. Download the certificate here.
๐๏ธ Architecture
โโโ cmd/
โ โโโ mcp-http/ # HTTP server implementation
โ โโโ mcp-stdio/ # STDIO server implementation
โ โโโ mcp-http-cli/ # CLI tool for testing via HTTP
โ โโโ mcp-test/ # Walks tool handlers against a real site
โ โโโ mcp-tokens/ # Token-cost report for the tool surface
โ โโโ docs-gen/ # Generates the tool reference (Markdown + GitHub Pages)
โโโ pkg/ # Importable by other MCP servers built on this one
โ โโโ auth/ # Authentication helpers (bearer & OAuth2 token handling)
โ โโโ cli/ # -toolsets flag parsing
โ โโโ config/ # Configuration management (env, flags), MCP server setup
โ โโโ helpers/ # Shared utility functions (errors, link helpers, tool parsing)
โ โโโ request/ # HTTP request primitives / Teamwork API wiring
โ โโโ testutil/ # Product-neutral test mocks
โ โโโ toolsets/ # Tool framework and registration logic
โ โโโ twctx/ # Per-request values derived from the bearer token
โโโ internal/ # This server's own tools, not importable elsewhere
โ โโโ twprojects/ # Teamwork project/domain tools (tasks, tags, timers, etc.)
โ โโโ twdesk/ # Teamwork Desk tools (tickets, customers, etc.)
โ โโโ twspaces/ # Teamwork Spaces tools (spaces, pages, etc.)
โ โโโ twchat/ # Teamwork Chat tools (conversations, messages)
โโโ examples/ # Usage & integration examples (LangChain Node/Python)
โโโ docs/usage/ # End-user setup & connection guide
โโโ Makefile # Common developer tasks
โโโ Dockerfile # Container build configuration
โโโ CODE_OF_CONDUCT.md # Community guidelines
โโโ CONTRIBUTING.md # Contribution guide
โโโ SECURITY.md # Security policy
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