"An overview of knowledge graphs and their applications" matching MCP servers:

An MCP server that guides AI assistants to navigate documentation using their built-in tools (grep, file reading) instead of traditional RAG.

Enables agents to search, read, list, and amend a git-backed markdown knowledge base, automatically committing and publishing changes.

Enables AI agents and MCP clients to search, retrieve, and read documents across unified knowledge sources including ShowDoc, GitHub, Gitee, ZenTao, Evernote, and Tencent Docs. It also supports connecting external MCP servers as additional knowledge sources.

Enables LLMs to search and retrieve information from large technical documentation (OpenAPI specs, markdown) via intelligent chunking and semantic search.

MCP server for querying versioned C2PA specification knowledge graphs, enabling AI agents to browse entity definitions, validation rules, and version diffs via natural language.

Serves markdown knowledge from a git repository over MCP, providing tools to list, search, and retrieve documents.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.

Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.

Provides a read-only MCP interface to the Santismm Knowledge Platform, offering tools to retrieve curated content on engineering, AI patterns, architectures, governance, and agent taxonomy with structured output in English, Spanish, and Portuguese.

Enables coding agents to query a team knowledge base via MCP, performing semantic search and asking questions that return grounded, citation-backed answers from ingested documents.

Enables AI agents to connect local knowledge bases, preview and index selected directories, search for traceable snippets with source metadata, and read indexed document versions through MCP tools.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Enables read-only, cited lookups of official Zendesk content across the Help Center, developer/API docs, changelogs and release notes, and live service status and maintenance. It also reports whether a feature is current, beta, EAP, deprecated, or retired.

Recon Fuzz Knowledge MCP

Enables evidence-based retrieval across official BMC Helix product documentation and isolated private project knowledge, with product, version, project, source, and section provenance. Supports version-aware multi-product indexing, hybrid lexical and optional semantic search, and read-only access to local evidence without touching live Helix systems.

MCP server for searching and citing ASTGL (As The Geek Learns) articles about MCP servers, local AI, and AI automation. Provides semantic search, direct Q\&A, and topic browsing across 20 authoritative articles with pre-computed embeddings.

Enables natural-language Q&A over multi-source documents (PDF/Markdown/web) with a self-reflective retrieval-augmented agent that cites sources, retries on poor retrieval or grounding, and supports multi-turn memory.

A local document processing server that can index various document formats (PDF, DOCX, TXT, HTML) and answer questions based on their content using the Model Context Protocol.

A high-performance MCP server that aggregates Wikipedia, arXiv, Context7, and DevDocs into a unified interface for AI agents.