"knowledge" matching MCP servers:

A local MCP server that gives LLMs long-term memory by indexing code, infrastructure, logs, and docs into a queryable graph. It enables semantic and structural search, evidence-backed reasoning, and tracked plans that persist across sessions and teams.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

Vendor-neutral MCP server for knowledge retrieval across repositories, offering stable tools for searching, getting, and listing documents with hybrid lexical and optional semantic search.

A knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.

An MCP server that acts as a knowledge engine for software projects, delivering relevant context at the start of a task and accumulating knowledge at its end through tools like start_task, context, finish_task, remember, and search, with a file-based source of truth and optional semantic retrieval via Graphiti/Neo4j.

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.

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

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

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.

A self-hosted, MIT-licensed MCP server that securely connects private documents and markdown files to LLMs. It provides a lightweight, local-first RAG infrastructure compatible with any MCP-enabled AI client or framework.

An MCP-native evidence retrieval platform that ingests source material, builds lexical and vector indexes, performs hybrid retrieval, and returns structured evidence packages for AI assistants.

Exposes Dify knowledge base retrieval capabilities via MCP for use in Cursor and other MCP-compatible clients, enabling semantic search and document browsing.

A private, self-hosted RAG service over MCP that enables document ingestion, hybrid retrieval (BM25 + dense vectors fused with RRF), and notebook management through 14 tools, keeping documents on your own hardware.

语义搜索知识库，支持文档获取和索引刷新，使AI Agent能够检索团队知识。

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

A portable, AI-agnostic second brain that stores typed memories with semantic recall and self-learning re-ranking, exposed to any MCP-capable AI as a local server.

Enables local full-text and semantic search over saved content, providing search and retrieval capabilities via MCP for AI assistants.

Crawls a website, indexes its content, and answers questions with cited sources over MCP.

Enables retrieval and comparison of automotive regulations and standards, plus question answering where every answer must carry standard number, clause number, and original excerpt, with unsupported conclusions flagged for review. Java backends and Feishu can call it directly over MCP.

Provides LLM-agnostic access to API documentation through MCP and REST endpoints, enabling AI assistants to retrieve, search, and proxy requests to whitelisted APIs across multiple platforms.