"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

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.

Connects AI assistants to Tacit building digital twins to query buildings, equipment, sensors, and zones using natural language. It provides tools for exploring Brick-compliant knowledge graphs, fetching historical sensor data, and accessing site documents.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Enables Claude Code to interact with Obsidian vaults by providing tools for multi-term searching, reading notes, and exploring tag-based relationships. It allows users to query, analyze, and manage their personal knowledge base directly through natural language.

A Model Context Protocol service that enables AI agents to securely access and operate Yuque knowledge bases via the Yuque OpenAPI.

Enables AI assistants to perform structured, step-by-step reasoning by breaking down complex problems into numbered thoughts, with support for revising previous steps and exploring alternative reasoning paths.

An HTTP stream server for interacting with the Intuition knowledge graph, enabling users to query and manage data through tools like extracting triples, searching entities, retrieving account info, and exploring relationships.

MCP server for building and exploring OWL 2 ontologies using AI agents, with tools for axiom management, structural pattern matching, and persistent selections.

Enables querying and exploring a bundled knowledge base through tools for manifest, table of contents, node retrieval, and full-text search.

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.

A persistent semantic memory system for LLMs with time-based decay, automatic memory capture, and spatial navigation tools for exploring knowledge graphs.

Jane is an MCP server that transforms team documentation and project specifications into a searchable, SQLite-powered knowledge base for AI assistants. It enables users to index, search, and manage standard library documentation and technical requirements through full-text search and structured document retrieval.

Enables AI agents to read, write, and maintain documentation through an MCP server, providing tools for asking questions, generating docs, checking drift, and exploring knowledge graph.

Provides structured knowledge about fiber laser machine parts and components, enabling AI assistants to answer questions about specifications, alarm codes, wiring, and consumables from official manuals.

Enables querying a local health knowledge base with hybrid RAG (vector + FTS5) and exploring backlinks between notes.

ORQIS MCP provides read-only tools for exploring workspaces, use cases, agents, shared memory, and temporal knowledge in the ORQIS AI Workspace.

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.

A TypeScript MCP server for executing Cypher queries and exploring Neo4j graph databases, enabling natural language database interaction through Claude.

Provides a unified context layer for LLMs by storing and retrieving repo-specific and cross-repo patterns via MCP tools, enabling instant context without re-exploring.