API Documentation
Intelligent query generation and document assistance service based on Claude AI
rating : 2.5 points
downloads : 20
What is the MCP Expert Server?
The MCP Expert Server is a powerful tool that uses artificial intelligence technology (based on Claude AI) to help users generate query statements and obtain API documentation information. It can extract key content from your API documentation and generate precise queries based on natural language requests.How to use the MCP Expert Server?
You just need to provide the API documentation folder path, and then start the server with a simple command. After that, you can use predefined tools such as 'create-query' and 'documentation' to complete tasks.Applicable scenarios
The MCP Expert Server is very suitable for developers who need to frequently query API interfaces or quickly find documentation information.Main features
Intelligent query generationAutomatically generate precise query statements based on the user's natural language requests.
Document-assisted queryQuickly find the required information from the API documentation.
Advantages and limitations
Advantages
No need to manually write complex query statements
Support multiple document formats (such as Markdown, JSON, etc.)
Powered by powerful AI technology to improve efficiency
Limitations
Depends on high-quality API documentation input
May not be able to handle overly complex natural language requests
How to use
Install dependencies
Run the 'npm install' command to install all necessary dependencies.
Set environment variables
Create a file named '.env' in the project root directory and add your Anthropic API key.
Start the server
Execute the 'npm start' command to start the MCP Expert Server.
Usage examples
Case title: Find all users who signed up in the last weekDemonstrate how to use the 'create-query' function to generate query statements.
Case title: Query API authentication methodShow how to use the 'documentation' function to obtain relevant information from the documentation.
Frequently Asked Questions
How do I start using the MCP Expert Server?
What should I do if I encounter connection problems?
Related resources
Official documentation
Get more information about the MCP Expert Server.
GitHub repository
View the source code and contribution guidelines.
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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

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
88
4.3 points

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#
567
5 points

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

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
754
4.8 points

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