"Filesystem" matching MCP servers:

MCP Server that enables LLMs to interact with the local filesystem.

Enables advanced file system operations such as file read/write, directory management, search, archiving, and file watching through natural language.

Provides local hybrid search over files by combining semantic vector and full-text BM25 retrieval, with MCP stdio/HTTP support, OAuth 2.1 authentication, and tools for reading and converting documents to Markdown.

Enables MCP clients to list, read, search, parse, batch-process, and poll for resume files within a configured root directory over stdio JSON-RPC.

Provides file system tools for resume matching agents, enabling reading, writing, searching, listing, watching, and batch processing of files via the Model Context Protocol.

Enables interaction with multiple Obsidian vaults through natural language, supporting note operations, search, and vault management with both REST and filesystem backends.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

Integrates Everything file search with Claude Desktop, enabling instant Windows filesystem search via natural language queries.

A MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata including name, path, size, and creation date.

Provides lightning-fast filesystem search on Windows via the Everything SDK, with fallback to HTTP API.

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.

Enables AI agents to search a Mac's documents by content using a local index, returning ranked paths and matching snippets. It supports formats like PDF, DOCX, HWP, and OCR'd scans, with Korean-aware search, while keeping everything offline and without requiring filesystem access.

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.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

Runs local MCP servers (filesystem, search, read-only shell) exposed via Tailscale Funnel with OAuth, enabling claude.ai to securely access local files and run shell commands through a custom connector.

A portfolio MCP server demonstrating four tools (web search, database query, file reading, directory listing) with read-only SQL, filesystem sandbox, and both stdio and HTTP transports.

This server provides: * Fast file search capabilities using Everything SDK * Windows-specific implementation * Complements existing filesystem servers with specialized search functionality

A containerized MCP bridge that lets local or cloud LLMs access your filesystem and perform web searches via Ollama and FastMCP.

Enables AI assistants to interact with Obsidian vaults via direct filesystem access for managing notes, folders, and metadata. It features advanced search capabilities and multi-layer caching to provide efficient, real-time access to your personal knowledge base.

Enables Claude to read and analyze large architectural drawing PDFs by slicing them into manageable chunks and bridging them into Claude's environment via the Filesystem connector.