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"filesystem" matching MCP servers:

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    Watches local and SMB folders for settled new files and pushes them into the Renfield knowledge base and Paperless over REST; also provides interactive MCP tools for browsing and on-demand file ingestion.
    MIT
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    An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.
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    MIT
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    An MCP memory server for coding agents that checks stored facts against the filesystem and git before relying on them, flagging stale memories.
    18
    MIT
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    Self-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.
    11
    15
    MIT
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    Enables comprehensive access to Obsidian vaults through MCP, supporting multi-vault management, knowledge graph analysis, canvas manipulation, dataview queries, template rendering, and periodic notes creation. Provides both local filesystem and remote API connectivity for complete Obsidian integration.
    29
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    22
    Apache 2.0
  • A
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    Persistent, structured memory for AI coding agents via a git-like filesystem with branch/commit/merge tools, enabling agents to maintain context across sessions.
    MIT
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    An orchestration system that coordinates multiple MCP servers to eliminate AI session startup overhead through intelligent project caching. It enables instant context loading and conversation continuity by synchronizing data across Memory, Filesystem, Git, and Database MCPs.
    5
    MIT
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    A local MCP server that gives AI harnesses a shared, filesystem-backed memory using the .agent folder, with tools to search and append lessons across sessions.
    3
    Apache 2.0
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    Provides AI agents with direct filesystem access to an Obsidian vault for note management, task orchestration, context persistence, and git synchronization.
    67
    1
    MIT
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    An agent-capable MCP server with terminal access, filesystem control, and persistent memory. It includes sandboxing, access control, activity logging, and a file-backed memory store for context across conversations.
    MIT
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    Enables AI assistants to interact with Obsidian vaults through direct filesystem access, supporting note management, lightning-fast search with SQLite indexing, image analysis, tag/link management, and bulk operations.
    MIT
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    ContextFS gives LLM agents a persistent, structured filesystem via MCP, enabling sandboxed file operations, workspace management, and memory/skills storage without direct machine access.
    1
    MIT