"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

Aggregates multiple OpenAPI specifications into a single searchable MCP server, enabling AI agents to query API endpoints across all services using natural language.

Search and harvest Korean academic literature and book bibliography metadata from the National Library of Korea Seoji OpenAPI via MCP or CLI.

Enables natural language search over Bluetooth specification PDFs with hybrid search (BM25 + semantic embeddings), returning precise answers with citations.

Enables searching and harvesting Korean Citation Index literature, citation indices, and references via REST API and OAI-PMH.

Enables access to Korean public data services through OpenAPI integration. Supports querying government datasets like parking information in Sejong City through natural language interactions.

A FastMCP-based MCP server for the R2R API, enabling integration with document management, knowledge graphs, and RAG systems through automatically generated tools and resources.

Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.

Enables AI tools to search and explore API documentation from Apidog projects or OpenAPI/Swagger specifications, providing endpoint details, schemas, and project statistics through natural language queries.

A lightweight, zero-config MCP server that makes documentation and API specifications instantly accessible to AI models using the llms.txt standard. It enables searching and retrieving full documentation, OpenAPI, and AsyncAPI specs without requiring a complex RAG infrastructure or vector database.

Enables searching and reading of PortOne documentation, including OpenAPI schemas and product guides, through the Model Context Protocol. It allows AI agents to easily access and integrate payment-related technical specifications into their workflows.

Enables natural language queries against uploaded OpenAPI/Swagger documentation via a hybrid RAG pipeline, providing grounded answers through MCP-compatible clients like VS Code Copilot.

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

Enables searching TV series and exploring subtitle coverage and episode records from tvsubtitles.net, including release details, uploader, and download page links, with no API key required.

Provides AI assistants with real-time access to 1000+ AI models including their latest pricing, context windows, capabilities, and specifications. Supports model search, comparison, recommendations, and live testing.

Enables exploring and analyzing US Data Analyst job postings, offering job search, salary benchmarking, and skill-demand insights through MCP tools, resources, and a career gap review prompt.

MCP server that parses 3GPP .docx specifications into structured sections with full-text search, letting LLMs browse, search, and follow cross-references without a vector database.

Enables users to search and access digital collections from the Swedish National Archives (Riksarkivet) through multiple APIs. Supports searching records by keywords, exploring collections, and downloading historical images and documents.

Enables MCP clients like Claude Desktop to search, retrieve, and analyze Korean statistical data from KOSIS OpenAPI.

An MCP (Model Context Protocol) server that provides structured access to ISO 32000 (PDF) specification documents. Enables LLMs to navigate, search, and analyze PDF specifications through well-defined tools.