Official description10 sourcesMCP servers8d ago
teamwork/mcp
๐๏ธ ๐๏ธ โ๏ธ ๐ ๐ช ๐ง - Project and resource management for client projects with Teamwork
View on GitHub โDirect link ยท no redirect page
Config template (adjust for your client)
claude mcp add mcp -- npx -y mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 27 โ ยท teamwork/mcp ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
- Harvest history
- first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 10 sources
- Score
- score 1,003 ยท 27 โ ยท 10 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
teamwork/mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.Third-party quality signals
Teamwork MCP Server
ไปฅไธๆๅฝ่ช่ฏฅไปๅบ็ README๏ผ็ๆฎต๏ผ ยท ๅจ GitHub ่ฏปๅฎๆด README โ
> 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:
๐ฌ STDIO Server
Direct STDIO interface for desktop applications and development environments.
**๐ Full STDIO Server Documentation**
Quick start:
๐ ๏ธ HTTP CLI
Command-line tool for testing and debugging MCP server functionality.
**๐ Full HTTP CLI Documentation**
Quick start:
๐ Prerequisites
- Go 1.27 or later
- Valid Teamwork.com API credentials (bearer token or OAuth2 setup)
> 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:
๐ฌ STDIO Server
Direct STDIO interface for desktop applications and development environments.
**๐ Full STDIO Server Documentation**
Quick start:
๐ ๏ธ HTTP CLI
Command-line tool for testing and debugging MCP server functionality.
**๐ Full HTTP CLI Documentation**
Quick start:
๐ Prerequisites
- Go 1.27 or later
- Valid Teamwork.com API credentials (bearer token or OAuth2 setup)
- Source
- awesome ยท https://github.com/teamwork/mcp
- Browse by field
- MCP servers
- Traction
- 27 โ
- added
- yesterday
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