Teamwork MCP
T

Teamwork MCP

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage projects, tasks, and people.
2 points
6.1K

What is Teamwork MCP?

Teamwork MCP is a server that connects to the Teamwork API. It provides an easy - to - use interface to manage your team projects and tasks. You can easily create, update, and delete tasks, and get project progress reports, etc.

How to use Teamwork MCP?

First, install and configure the Teamwork MCP server, then add it to your workflow through Cursor or other MCP clients. You can start efficiently managing your projects in just a few steps.

Applicable Scenarios

Suitable for teams that need real - time collaboration, task status tracking, and project report generation. Both small teams and large enterprises can benefit from it.

Main Features

Project Tools
Functions such as getting all projects, viewing current project details, and creating new projects.
Task Tools
Create, update, and delete tasks; get task lists and subtask information.
Comment Tools
Add comments to specific tasks or messages.
Company Tools
Manage company information, such as creating, updating, or deleting companies.
People Tools
Assign people to projects, view performance and utilization, etc.
Reporting Tools
Generate reports on user task completion and project utilization.
Time Tools
Record and analyze the team's time allocation.
Advantages
Seamlessly integrate with the Teamwork API and easy to operate.
Support multiple tool filtering options, with strong flexibility.
Powerful logging and error handling mechanisms to ensure stable operation.
Open - source and free to use, no additional fees required.
Limitations
Requires a Teamwork account to work properly.
Some advanced features may depend on the API limitations of Teamwork.
The initial configuration may be a bit complicated and requires familiarity with command - line operations.

How to Use

Install Teamwork MCP
Clone the repository and install the dependencies: ```bash git clone https://github.com/readingdancer/teamwork-mcp.git cd teamwork-mcp npm install ```
Configure Environment Variables
Create a.env file and fill in the necessary information, such as domain name, username, and password.
Start the Server
Start the server using the following command: ```bash node build/index.js ```
Add to Cursor
Add the MCP server in Cursor settings and enter the corresponding command - line parameters.

Usage Examples

Create a New Project
Create a brand - new project through Teamwork MCP.
Update Task Status
Mark a certain task as completed.
Generate Utilization Report
Export the task utilization report of the entire team.

Frequently Asked Questions

How to ensure the security of my API credentials?
What if I forget my Teamwork password?
Does it support multi - language interfaces?

Related Resources

Official Documentation
Fully understand the functions and usage methods of Teamwork MCP.
GitHub Code Repository
Source code address and contribution guide.
Technical Support Forum
Exchange experiences and technical issues with other users.

Installation

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

Alternatives

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
8.9K
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
8.4K
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
6.2K
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
8.7K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 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
22.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.9K
4.3 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
31.4K
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
18.1K
4.5 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#
27.1K
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
58.2K
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
85.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase