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"How to improve memory or retention like GPT models" matching MCP servers:

  • how-to-test-an-mcp-server

    Autonoma-Tools
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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    Last updated

  • write-like-me-mcp

    gwicho38
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    Enables Claude to write in your personal style by learning from your local documents. It provides statistical style context for natural language rewriting, all without any data leaving your machine.
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    MIT

  • Todoist GPT MCP

    oliviercp
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    Enables GPT to interact with Todoist tasks and projects through direct API calls or a local SQLite mirror. Supports reading task data via SQL queries, creating/updating/deleting tasks and projects, and synchronizing data between Todoist and the local mirror.
    Last updated

  • repo-memory

    yubinkim444
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    license
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    quality
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    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
    Last updated
    5
    1
    MIT

  • mcp-memory

    Yarlan1503
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    A drop-in replacement for Anthropic's memory server that utilizes SQLite to ensure data integrity and concurrent access. It enhances the original functionality with semantic search capabilities using vector embeddings and ONNX models.
    Last updated
    11
    1
    MIT

  • Memory MCP

    dannymaaz
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    license
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    quality
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    Persistent project memory for AI models and coding agents. Memory MCP stores architecture, decisions, tasks, warnings, preferences, and session state in Supabase so OpenCode, Claude Code CLI, Qwen Code, Codex, or any MCP-compatible client can resume work without losing context.
    Last updated
    22
    1
    MIT

  • Docs-to-AI

    dorianmeric
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    quality
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    Last updated
    1
    MIT

  • click-to-mcp

    Coding-Dev-Tools
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    Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.
    Last updated
    4
    Apache 2.0