An MCP server that provides real-time delay information for JR East train lines, accessible via MCP clients like Claude Desktop through the 'getDelays' tool.
Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.
An MCP server that allows Claude AI to perform filesystem operations including reading, writing, listing, moving files, and searching directories within specified allowed paths.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations with comprehensive permission controls, allowing secure file and directory manipulation with granular access restrictions.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations with regex support for allowed directories, enabling AI assistants to safely read, write, and manipulate files through natural language.
A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.
A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.
Node.js server implementing Model Context Protocol for secure read-only filesystem operations, allowing Claude to read files, list directories, search files, and get file metadata within specified directories.
This server provides:
* Fast file search capabilities using Everything SDK
* Windows-specific implementation
* Complements existing filesystem servers with specialized search functionality
A Model Context Protocol server that extends AI capabilities by providing file system access and management functionalities to Claude or other AI assistants.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations, allowing AI systems to read, write, edit files and manage directories within specified allowed paths.
Node.js server implementing Model Context Protocol for filesystem operations, allowing Claude to read, write, and manipulate files and directories in specified locations.
MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
A Model Context Protocol server adapted for Google Cloud Platform that enables secure file operations (reading, writing, editing, searching) with access control for specific directories.
Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.
A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.
A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.
A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.
This server offers secure, read-only access to directory files via the MCP, supporting file searching, .gitignore compliance, path traversal protection, and MIME type detection using the 'file://' URI scheme.
Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
Facilitates retrieval of National Park Services data using the NPS API, allowing users to list national parks by state and access detailed information about specific parks.
Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.
A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.