"filesystem" matching MCP servers:

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.

Enables AI assistants to interact with local Obsidian vaults through direct filesystem access for reading, creating, and managing notes. It features high-performance SQLite indexing for fast searches, regex support, and tools for organizing tags and links without requiring additional plugins.

Serves an LLM-maintained markdown wiki to agents over MCP, providing tools for querying and navigating wiki pages without direct filesystem access.

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.

An MCP memory server for coding agents that checks stored facts against the filesystem and git before relying on them, flagging stale memories.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

Enables AI coding agents to read, write, search, and organize notes in an Obsidian vault directly via the filesystem.

MCP server for reading Claude Code session history from the local filesystem, exposing project and session data to MCP-compatible clients.

Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.

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.

Provides AI agents with direct filesystem access to an Obsidian vault for note management, task orchestration, context persistence, and git synchronization.

A KISS self-hosted wiki server for AI agents, providing MCP tools to list, read, search, write, and append notes to Markdown files on the filesystem.

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.

An all-in-one MCP server that enables AI agents with local system capabilities like filesystem navigation, command execution, desktop automation, and a continuity memory suite for persistent cross-session project context.

A comprehensive MCP server for Obsidian with 45 tools across hybrid filesystem-native and API-based architectures, enabling note management, backlinks, tag management, and analytics.

Enables AI agents to capture, search, relate, review, and safely update a local-first Markdown knowledge vault through typed operations such as inventory, retrieve, run_view, update, add_attachment, trash, and restore. Agents get validated access to personal notes and attachments without a generic shell or arbitrary filesystem access.

Persistent, structured memory for AI coding agents via a git-like filesystem with branch/commit/merge tools, enabling agents to maintain context across sessions.

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.

Enables LLM agents to search, inspect, inscribe, hone, and maintain a versioned library of learned procedures stored as Git-committed SKILL.md files with SQLite metadata and filesystem content. It also supports dropping observation notes, managing drafts, scouting external skills, and running catalogue health passes through intent-shaped tools that return structured results with next-step hints.

Enables AI assistants to maintain persistent local discussion trees, browse ancestors and child branches, and resume or branch conversations across chats through filesystem-style paths.

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.

Enables searching, indexing, and recovering past AI chat sessions and agent actions from local AI coding tools, with optional vector database semantic search and direct filesystem access.

A filesystem-backed MCP server with REST API for AI tool integration and project workflow tracking. Zero database required.

A persona-driven AI assistant that reads, searches, and writes an Obsidian Markdown knowledge vault using a typed MCP filesystem core.

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.

ContextFS gives LLM agents a persistent, structured filesystem via MCP, enabling sandboxed file operations, workspace management, and memory/skills storage without direct machine access.

Gives Claude and other MCP clients full control of a running Obsidian vault through the official Obsidian CLI, with fast filesystem reads for bulk operations and link-safe writes via the app.

A self-hosted MCP knowledge server that gives agents a filesystem-shaped store of rules, context, skills, and granted connections — opened in full for standing rules and as an index otherwise, then listed, searched, and read on demand. Agents can only propose diffs and new entries (reviewable and correctable by the owner) and receive credentials for exactly the connections they're bound to.

Exposes baby-gpt's tools (shell, filesystem, search, memory, GitHub integration, etc.) to Claude Desktop or Cursor, enabling natural language interaction with these capabilities.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

Filesystem-native agent memory for Claude Code, enabling persistent team context across sessions through cloud-synced memory files and MCP tools.

A task-aware transparent proxy that wraps stdio MCP servers (such as git, filesystem, and terminal) and compresses large tool outputs field-by-field using declarative YAML profiles, passing narrow intent queries through untouched. Discarded data is stored in SQLite and can be losslessly retrieved via an injected tool, either in full, by line range, or by grep, while errors are always preserved and failures fall back to the raw result.