Teamwork MCP
T

Teamwork MCP

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage Teamwork projects and tasks.
2.5 points
7.7K

What is Teamwork MCP?

Teamwork MCP is an intermediate server that transforms the complex Teamwork API into a simple and user - friendly interface, allowing you to easily manage projects and tasks without a technical background. It is particularly suitable for integration with development tools such as Cursor to improve team collaboration efficiency.

How to use Teamwork MCP?

Simply configure your Teamwork account information, and the server will automatically connect and be ready with all functions. You can use it through the command line or by directly integrating it into development tools such as Cursor.

Applicable scenarios

It is especially suitable for scenarios where development teams need to combine project management with the code development workflow, such as task tracking, progress synchronization, and team collaboration.

Main features

Project management
View, create, and manage projects in Teamwork
Task management
Comprehensively manage tasks, including creating, updating, deleting, and viewing task details
Personnel management
Manage team members and their assignments in projects
Project reporting
Get project progress and team performance reports
Seamless integration
Easily integrate with development tools such as Cursor
Advantages
Simplifies the complexity of the Teamwork API and provides a more user - friendly interface
Supports flexible permission control to precisely control available functions
Deeply integrates with development tools to improve development efficiency
Provides rich project data statistics and reporting functions
Limitations
Requires a Teamwork account and API access permissions
Some advanced features require Teamwork Enterprise Edition support
Initial configuration requires some technical knowledge

How to use

Installation preparation
Ensure that Node.js (version 18+ recommended) and npm/yarn are installed
Get the code
Clone the repository to the local machine
Install dependencies
Enter the project directory and install the required dependencies
Configure the account
Copy the.env.example file and fill in your Teamwork account information
Start the server
Run the server and be ready to receive requests

Usage examples

Project progress tracking
Development teams can view project progress and task completion status in real - time
Task assignment
Project managers can quickly assign tasks to team members
Team performance report
Get reports on team members' work efficiency and task completion status

Frequently Asked Questions

What kind of Teamwork account do I need to use this MCP server?
How to restrict certain sensitive operations (such as deleting tasks)?
Can I connect multiple Teamwork accounts simultaneously?
How to get the project ID?
Will the data be cached locally?

Related resources

Teamwork official API documentation
Complete reference documentation for the Teamwork API
GitHub repository
Project source code and issue tracking
Cursor official website
Learn how to integrate the MCP server with Cursor
Node.js download
Download and install the Node.js runtime environment

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.6K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.8K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.5K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.6K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
10.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
7.6K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
11.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.4K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase