Yapi
An MCP server for the Yapi API management platform.
Yapi MCP Server
Recommended: If you only need to search Yapi interfaces or get interface details, use the lightweight Yapi Skill first. It calls Yapi through local Python scripts and does not require starting the Java/Docker MCP server. Use this project when you need a full MCP server integration.
A Model Context Protocol (MCP) Server for Yapi API management platform. This project provides seamless integration between AI assistants and Yapi, allowing you to query API documentation, search interfaces, and manage API information through natural language.
For the Chinese version of this document, please see README_zh.md.
Features
This MCP server provides the following tools for interacting with Yapi:
| Tool | Description |
|---|---|
listProjects | List all configured Yapi projects with their IDs and names |
listCategories | Get interface categories for a specific Yapi project |
listCatInterfaces | List interfaces within a specific category |
searchInterfaces | Search API interfaces by project name, keyword, or path |
getInterfaceDetail | Get detailed information about a specific API interface |
refreshCache | Manually refresh the Yapi cache |
clearProjectCache | Clear cache for a specific project |
getCacheStats | Get cache statistics information |
Prerequisites
Choose one of the following environments:
- Java Environment: JDK 21+ and Maven 3.6+
- Docker Environment: Docker and Docker Compose
Quick Start
Method 1: Run with Java
# Clone the repository
git clone https://github.com/yyykf/yapi-mcp-server.git
cd yapi-mcp-server
# Configure Yapi URL and project tokens
vim src/main/resources/application-mcp.yml
# Build the project
mvn clean package
# Run the application
java -jar target/yapi-mcp-server-0.0.1-SNAPSHOT.jar
Method 2: Run with Docker
# Clone the repository
git clone https://github.com/yyykf/yapi-mcp-server.git
cd yapi-mcp-server
# Configure Yapi URL and project tokens
vim src/main/resources/application-mcp.yml
# Run with Docker Compose
docker-compose up -d
Configuration
Before running the application, you need to configure your Yapi connection settings in src/main/resources/application-mcp.yml:
spring:
cloud:
openfeign:
client:
config:
yapiClient:
url: http://yapi.com # Replace with your Yapi URL
yapi:
project-tokens:
123456: "your-project-token-1" # Project ID: Token
789012: "your-project-token-2" # Add more projects as needed
Building Multi-Architecture Docker Images
If you need to build and push multi-architecture Docker images manually, use the provided script:
./build-and-push.sh <version> <docker-username> <docker-password>
Example:
./build-and-push.sh 1.0.0 myusername mypassword
This script will build images for both amd64 and arm64 architectures and create a multi-architecture manifest.
Documentation
For more detailed project documentation and insights, you can explore the project using DeepWiki:
Integration with Cursor
Method 1: One-Click Install
Click the button below to automatically install the MCP server in Cursor:
Method 2: Manual Configuration
Add the following configuration to your Cursor MCP settings file (mcp.json):
{
"mcpServers": {
"yapi": {
"url": "http://127.0.0.1:8888/sse"
}
}
}
Health Check
Once the application is running, you can check its health status:
curl http://localhost:8888/actuator/health
Or visit http://localhost:8888/actuator/health in your browser.
Usage Examples
After setting up the MCP server in Cursor, you can use natural language to interact with your Yapi instance:
- "Show me all available projects"
- "List all API categories in project 123456"
- "Search for login APIs"
- "Get details of interface ID 789"
- "What's the cache status?"
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related Servers
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Neo
sponsorNEO MCP lets Claude Code, Cursor and VS Code hand off complex AI engineering tasks like AI model evals, AI agent optimization and more to NEO.
Bloomfilter
Let AI agents search, register, and manage domains via API
Hashkey MCP Server
Provides onchain tools for AI applications to interact with the Hashkey Network.
Clarvia
Search 15,000+ AI tools, check agent-compatibility scores, find alternatives, and audit dependencies before calling any external API or MCP.
mermaid-mcp-server Public
MCP server for generating Mermaid diagrams from projects (local/GitHub) and rendering via Kroki.
OpenGrok
OpenGrok MCP Server is a native Model Context Protocol (MCP) VS Code extension that seamlessly bridges the gap between your organization's OpenGrok indices and GitHub Copilot Chat. It arms your AI assistant with the deep, instantaneous repository context required to traverse, understand, and search massive codebases using only natural language.
Android ADB Server
Control Android devices using the Android Debug Bridge (ADB).
OpenZeppelin MCP
Access secure, standards-compliant smart contract templates from OpenZeppelin, including ERC20, ERC721, and ERC1155.
4o-image
Generate and edit images using text prompts with the 4o-image API.
Teleprompter
A server for managing and reusing prompts with Large Language Models (LLMs).
Remote MCP Server
An example of a remote MCP server deployable on Cloudflare Workers, customizable by defining tools.