M

MCP Teamate Server

HTTP API server program for MCP Teamate, providing interface services related to team collaboration
2 points
9

What is the MCP Teamate server?

The MCP Teamate server is a backend program that provides HTTP API services to support various functional interactions on the MCP Teamate platform. It processes front-end requests and interacts with data storage.

How to use the MCP Teamate server?

After installing the dependencies, you can start the service by directly running the server program. The server will automatically create the necessary data directories.

Applicable scenarios

Suitable for scenarios that require providing backend API services for the MCP Teamate platform, including development, testing, and production environments.

Main features

HTTP API serviceProvides standard HTTP API interfaces for front-end calls
Automatic data managementAutomatically creates data directories and database files during the first run
Testing supportBuilt-in testing framework support for easy function verification

Advantages and limitations

Advantages
Based on the Bun runtime, with high performance
Automatically manages data storage, simplifying deployment
Built-in testing support for easy quality assurance
Limitations
Depends on the Bun runtime environment
The data directory structure is fixed, with limited customization capabilities

How to use

Install dependencies
Ensure that the Bun runtime is installed, and then install the project dependencies
Run the server
Start the HTTP API service
Run tests
Verify that the functions are working properly

Usage examples

Start in the development environmentStart the API server in the local development environment
Run unit testsVerify that the server functions are working properly

Frequently Asked Questions

What runtime environment is required?
Where is the data stored?
How to contribute code?

Related resources

Bun official documentation
Official documentation for the Bun JavaScript runtime
Project code repository
Source code for the MCP Teamate server
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
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
1.7K
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
97
4.3 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
150
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 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
6.7K
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#
573
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
5.2K
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
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase