Provides file system tools for resume matching agents, enabling reading, writing, searching, listing, watching, and batch processing of files via the Model Context Protocol.
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.
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.
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
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.
A TypeScript prototype for an MCP-style registry providing local utility tools for shell command execution, filesystem access, and search functionality. It features Zod input validation and project manifest resource exposure for embedding into larger MCP implementations.
This suite provides five production-ready MCP servers for restaurant orders, web search, browser automation, and filesystem operations, supporting both stdio and HTTP/SSE transports.