Yapi MCP Server

0
0 Reviews
3 Stars
Yapi MCP Server facilitates the management of multiple YApi projects by syncing API data, enabling API retrieval, updates, and organization through a centralized server.
Added on:
Created by:
Apr 28 2025
Yapi MCP Server

Yapi MCP Server

0 Reviews
3
0
Yapi MCP Server
Yapi MCP Server facilitates the management of multiple YApi projects by syncing API data, enabling API retrieval, updates, and organization through a centralized server.
Added on:
Created by:
Apr 28 2025
lzsheng
Featured

What is Yapi MCP Server?

Yapi MCP Server provides a comprehensive platform for managing YApi projects. It enables users to synchronize API documentation data across multiple projects, perform API searches, retrieve detailed API descriptions, and update or add new API interfaces. The server supports real-time synchronization, making API management efficient and organized. It can be integrated with development workflows and tools, simplifying API maintenance and collaboration. The server configuration involves setting environment variables such as port, tokens, and base URL. It also offers command-line options for installation and startup, ensuring flexible deployment. Overall, Yapi MCP Server improves API documentation handling, enhances team collaboration, and streamlines API lifecycle management.

Who will use Yapi MCP Server?

  • API documentation engineers
  • Backend developers managing APIs
  • DevOps teams overseeing API environments
  • Project managers coordinating API projects
  • Technical teams integrating YApi with other tools

How to use the Yapi MCP Server?

  • Step 1: Clone the repository from GitHub.
  • Step 2: Create a .env file in the root directory and configure environment variables like PORT, YAPI_TOKEN, YAPI_BASE_URL, etc.
  • Step 3: Install dependencies using the command 'pnpm install'.
  • Step 4: Start the server with 'pnpm run dev'.
  • Step 5: Access the server URL (default port 3388) and configure the client or integration tools as needed.

Yapi MCP Server's Core Features & Benefits

The Core Features
  • Retrieve detailed API descriptions from YApi
  • Search APIs within projects
  • Add or update API information
  • List YApi projects and categories
  • Synchronize API data across projects
The Benefits
  • Centralized management of multiple API projects
  • Real-time synchronization for up-to-date API data
  • Enhanced API organization and retrieval
  • Streamlined API maintenance and updates
  • Easy integration with development workflows

Yapi MCP Server's Main Use Cases & Applications

  • Managing and synchronizing multiple YApi projects for large teams
  • Automating API documentation updates during CI/CD pipelines
  • Centralized API management for enterprise environments
  • Integrating YApi API data with other internal tools
  • Simplifying API versioning and lifecycle management

FAQs of Yapi MCP Server

Developer

  • lzsheng

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

Cloud Platforms

A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A demo project showing how to build an MCP client agent to connect to external services via MCP protocol.
Implements an MCP server and client using FastMCP and LangChain for structured asynchronous communication.