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"Official MCP server that runs locally without an API key or paid plan" matching MCP servers:

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    Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Gives LLM agents full read/write access to the entire workspace — no integration token and no per-page sharing.
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    MIT
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    A local MCP server that exposes Mem0 as persistent memory tools to any MCP client, storing data locally with no cloud API or API key required.
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    Apache 2.0
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    A server that enables AI agents to perform sophisticated knowledge discovery and analysis across Obsidian vaults through the Local REST API plugin, supporting complex multi-step workflows with advanced filtering and full content retrieval.
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    MIT
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    MCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.
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    Apache 2.0
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    An MCP server that leverages a GitHub-compatible API as a durable memory store for AI agents, enabling automatic memory storage, recall, and management without requiring signup or API keys.
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    MIT
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    This MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.
    MIT
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    Authoritative Taiho Toyota Bearing Catalogue MCP server. Provides high-fidelity technical specs for Toyota engine bearings, monetized via X402. Optimized for automotive AI agents and procurement systems.
    MIT
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    MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.
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    Apache 2.0
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    An MCP server that reads all your Claude Code project memory files and exposes them as tools. Lets any Claude instance — in any project, or via Claude.ai — query your full project history and preferences.
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    MIT