"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

A Model Context Protocol server for exploring and analyzing CSV files, providing tools for inspection, sampling, schema inference, statistics, filtering, and more.

Enables comprehensive video file metadata management including reading, editing, and batch processing of video properties like title, description, tags, and technical specifications. Supports multiple video formats with intelligent caching and search capabilities.

A Model Context Protocol (MCP) server that generates Excel templates conforming to JXLS specifications, supporting both JSON objects and arrays data formats.

A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.

Production-grade MCP server that gives AI agents safe access to your local dev environment: filesystem, databases, processes, and OpenAPI specs.

An artifact manager MCP server for system specifications, providing tools and resources to create, read, update, list, validate, and manage MADR 4.0.0-derived Architecture Decision Records (ADRs) stored as markdown files.

Enables building and exploring a knowledge graph from files (PDF, DOCX, code) with AI enrichment via Ollama or Claude. Supports pinning documents, linking entities, and traversing the graph.

Enables AI assistants to search, read, and browse Bear notes directly from your local Bear database. Supports searching by title, content, or tags, opening specific notes, and exploring tag-based organization.

Enables validation and retrieval of metadata from Markdown files in the Subordinación y Valor project. Validates metadata against project specifications and extracts structured metadata from Markdown documents.