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"A server for searching information about memory" matching MCP servers:

  • about-utkarsh-mcp

    utkarsh21123
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    license
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    quality
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    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6

  • All About Ads MCP

    rugvedp
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    quality
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11

  • server-memory

    MK-986123
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    maintenance
    A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.
    20
    1
    MIT

  • xmszm-memory

    xmszm
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    quality
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    maintenance
    Multi-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.
    9
    23
    MIT

  • find-a-book-mcp

    Xiaochengzi2048
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    quality
    B
    maintenance
    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
    3
    33
    6
    MIT

  • just-a-mysql-mcp

    xingyuli
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    quality
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    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT

  • Memory MCP

    EtienneBBeaulac
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    Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.
    10
    29
    1
    MIT

  • repo-memory

    yubinkim444
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    quality
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    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    5
    1
    MIT

  • memory-mcp

    jmars
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    quality
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    maintenance
    Persistent knowledge graph MCP server with SQLite backend, offering graph traversal, fuzzy search, and temporal queries for entities and relations. It serves as a drop-in replacement for the npm mcp-server-memory with enhanced capabilities.
    12
    MIT

  • MCP Server for OSCAL

    awslabs
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    license
    A
    quality
    C
    maintenance
    Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.
    40
    51
    Apache 2.0

  • anneal-memory

    phillipclapham
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    quality
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    maintenance
    Two-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.
    16
    10
    MIT

  • Memory-Facade

    morozsm
    F
    license
    A
    quality
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    maintenance
    A stateless MCP server that gives coding agents a curated entry point to shared memory, orchestrating Hindsight (facts) and LightRAG (corpora) for automatic routing, URL ingestion, and consistency tooling.
    6

  • crbro-memory

    Octonove
    A
    license
    A
    quality
    B
    maintenance
    A local MCP server that gives AI assistants persistent long-term memory using a biological neural architecture with cortex, synapses, and hippocampus.
    15
    121
    MIT

  • failure-memory

    CongBao
    A
    license
    A
    quality
    A
    maintenance
    Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.
    2
    MIT