Exposes file system operations as tools, enabling AI agents to interact with files and directories in a secure and platform-agnostic manner.
Provides secure and permission-controlled filesystem operations via the Model Context Protocol.
Enables interaction with a file system via HTTP requests, supporting file operations and content summarization using the Google Gemini API.
Explores local file systems, demonstrating core Model Context Protocol (MCP) concepts for learning and development.
Exposes files in a workspace as individual, addressable resources using the Model Context Protocol (MCP).
Enables efficient handling of filesystem operations through a fast and asynchronous MCP server.
Enables sandboxed and secure programmatic access to filesystem operations.
Provides secure, read-only access to files within a specified directory using the Model Context Protocol (MCP).
Provides AI agents with secure, efficient, and token-saving access to project files through batch operations and project root confinement.
Provides secure, relative filesystem access for AI agents via the Model Context Protocol (MCP).
Provides access to specified directories on your local filesystem within Claude Desktop.
Provides secure, asynchronous file and directory manipulation services over MCP for virtualized paths.
Provides secure, relative filesystem access for AI agents.
Automate file system operations through natural language commands powered by an LLM.
Enables seamless integration between LLM applications and external data sources by implementing the Model Context Protocol (MCP).
Executes user-requested file and directory operations within a specialized agent environment.
Provides AI agents with secure, relative filesystem access within a defined project root.
Provides comprehensive filesystem operations, Git integration, and code validation capabilities through a unified Model Context Protocol server.
Provides comprehensive filesystem operations accessible via the Streamable HTTP Model Context Protocol.
Provides a custom Model Context Protocol (MCP) server implementation with file system and command execution tools for LLM clients.
Maintains a comprehensive directory of publicly accessible Model Context Protocol (MCP) servers, enabling interaction between large language models and external systems.