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"LLVM" matching MCP servers:
- Alicense-qualityAmaintenanceA generic MCP server that turns a directory of Markdown wiki pages into a network-reachable knowledge base, queryable and updatable by any MCP-compatible client.MIT
- Alicense-qualityAmaintenanceBuilds a local, citation-aware wiki from an approved project scope and exposes it as an MCP server with a single read-only tool for agents to explore the wiki.53MIT
- Flicense-qualityCmaintenanceLocal knowledge base built from PDF lecture slides on Agentic Coding, exposed as an MCP server with search, page retrieval, and query tools.
- Flicense-qualityCmaintenanceEnables building and querying a local wiki knowledge base from raw source files via MCP tools and a PyQt viewer.
- AlicenseAqualityCmaintenanceServes an LLM-maintained markdown wiki to agents over MCP, providing tools for querying and navigating wiki pages without direct filesystem access.11GPL 2.0
- FlicenseAqualityBmaintenanceMCP server to help AI assistants generate Italian PA user interfaces by providing components, recipes, accessibility rules, and validation for Bootstrap Italia and Web Components.9
- FlicenseAqualityDmaintenanceA powerful MCP server for querying and processing large Swagger/OpenAPI JSON documents, enabling LLMs to efficiently access API documentation without loading entire files.62
- AlicenseBqualityBmaintenanceAn MCP server that provides AI agents with a governed wiki requiring human approval before any formal page update, combining structured knowledge management with safe, auditable writes.14MIT
- Alicense-qualityBmaintenanceEnables AI agents to extract, validate, and discover documentation from websites using llms.txt and install.md standards.64932Inno Setup
- Flicense-qualityBmaintenanceProvides RAG-based FastAPI documentation retrieval and project introspection tools via MCP, enabling LLMs to query reference docs, symbols, and project OpenAPI specs.
- Flicense-qualityDmaintenanceEnables querying the MITRE ATT\&CK framework for adversarial tactics, techniques, mitigations, and detection methods through natural language, supporting both ID-based and fuzzy name-based searches.3