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how-to-manage-ai-memory-effectively MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

17,764 servers. Last updated 2026-02-24 23:28

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"how-to-manage-ai-memory-effectively" matching MCP servers:

  • MCP AI Memory

    scanadi
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    security
    A
    license
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    quality
    Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
    Last updated 9 days ago
    33
    43
    MIT

  • AI-Collab-Memory

    sodam-AI
    A
    security
    A
    license
    A
    quality
    An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
    Last updated 4 days ago
    7
    2
    MIT

  • Skill-to-MCP

    biocontext-ai
    A
    security
    A
    license
    A
    quality
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated 4 months ago
    3
    15
    Apache 2.0

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