MCP Servers for Knowledge & Memory

Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.

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  • mcp-rtfm

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    Transform your non-existent or unreadable docs into an intelligent, searchable knowledge base that actually answers those 'basic questions' before they're asked.
    • Apple
    • Linux

  • cognee

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    Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
    Apache-2.0

  • mcp-ragdocs

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    MIT

  • MCP-summarization-functions

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.

  • MemoryMesh

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    This project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.
    MIT
    • Apple

  • servers

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    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
    MIT

  • mcp-neo4j official

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    This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things with Neo4j and your Aura account.

  • mcp-knowledge-graph

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    An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
    MIT