"YAPI API Documentation Integration Guide" matching MCP servers:

Enables LLM clients to browse and inspect YAPI API documentation, including project info, categories, interfaces, and full API details with request/response schemas.

Enables direct integration with YApi API documentation platform in MCP-compatible editors like Cursor, allowing users to query API details, list interfaces, and search endpoints by simply pasting YApi URLs.

Enables AI tools to search, create, update, and manage YApi API interfaces, projects, and categories through natural language.

Enables access to YApi interface documentation by retrieving API details through interface IDs or direct YApi URLs.

Enables AI assistants to manage YAPI API documentation by providing tools to create, update, and retrieve interface details. It also supports running automated tests and managing API data across multiple configured projects.

MCP server for YApi integration that generates TypeScript types, mock data, and API request code.

A Model Context Protocol (MCP) server for YAPI API Platform integration. Enable AI assistants to interact with YAPI seamlessly.

Give your AI agents instant access to Keboola API documentation. Search endpoints, get parameter details, and generate curl examples—all through MCP tools.

A Model Context Protocol server for YApi that enables developers to search, view, create, and update API definitions directly from MCP-compatible IDEs.

An MCP server that enables fetching YApi interface details via a tool, allowing AI assistants to generate API code based on YApi documentation.

Enables reading and searching API documentation from YApi instances, allowing AI models to access interface definitions, project API lists, and search through API endpoints using YApi URLs or project IDs.

A Model Context Protocol (MCP) server for interacting with a YAPI instance, enabling LLMs to list, search, and retrieve detailed API documentation from YAPI projects.

Exposes YApi's API management capabilities to MCP clients, enabling operations like listing projects, categories, searching APIs, and managing API details.

Enables MCP-compatible AI clients to query, search, create, and update YApi API definitions and categories using natural language, with write operations excluding deletion for safety.

Enables searching YApi interfaces by keyword and retrieving detailed interface schemas, including request/response, for project-level tokens.

Enables MCP clients to manage YApi projects and interfaces, including searching and creating APIs, editing mock response bodies and advanced mock scripts, managing mock expectations, and testing mock URLs.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

An MCP server for the YAPI interface management platform that enables users to manage projects, categories, and API interfaces. It supports querying project details, listing interfaces, and creating or modifying API documentation through natural language.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.