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MCP.Pizza Chef: Teamwork

This MCP server connects AI assistants to your Teamwork.com account, enabling them to read, create, and update projects, tasks, tickets, chats, and documents. By linking your Teamwork.com credentials, you can have AI help manage your work directly within apps that support MCP servers. Setup involves copying a small configuration snippet and providing your API token, with no complex coding required.

Other

Use This MCP server To

Check status and details of Teamwork.com projects Create and update tasks in Teamwork.com via AI Read and respond to Teamwork Desk tickets Manage Teamwork Spaces pages and content Send and read messages in Teamwork Chat Monitor project progress and deadlines Get summaries of Teamwork.com activities

README

Teamwork MCP Server

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

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📌 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.

🚀 Available Servers

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

mcp FAQ

Can I use this to manage my Teamwork.com projects with AI?
Yes — this server lets AI tools read and update your Teamwork.com projects, tasks, and chats securely.
Does this MCP server work with popular AI models like OpenAI, Claude, or Gemini?
Yes — it supports integration with various AI models that use the MCP standard, including OpenAI, Claude, and Gemini.
Do I need a Teamwork.com account or API token to use this?
Yes — you must have valid Teamwork.com credentials (bearer token or OAuth2) to connect the server to your account.
How hard is it to set up this MCP server?
Setup is moderate — you typically copy-paste a small configuration snippet and provide your Teamwork.com token.
Which apps or clients can I use this MCP server with?
It works with any MCP-compatible AI client that supports server connections, but specific clients are not listed.
Can I restrict the AI to only view data without making changes?
Yes — the server supports a read-only mode for safer interactions.