MCP Server Directory

Enables Claude to access and analyze your Strava activities through OAuth authentication. Supports retrieving activity lists and detailed workout data for fitness tracking and analysis.

Enables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.

Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.

MCP server for MCP Think Tool server for Claude Desktop

Time MCP server

A lightweight Model Context Protocol server that provides current UTC time in various formats, including ISO 8601 and Unix timestamps. It is designed for seamless integration with Cursor IDE to provide consistent time-related capabilities across all development projects.

A production-ready Model Context Protocol server for managing tasks and todos with support for both file-based and database storage backends. It enables users to perform bulk operations, track priorities, and access productivity analytics through a structured management system.

A server implementation that enables LLMs to programmatically manage tasks in Todo.txt files using the Model Context Protocol (MCP), supporting operations like adding, completing, deleting, listing, searching, and filtering tasks.

A Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.

Provides seamless integration with NASA's public APIs, enabling AI assistants to access space and astronomy data including APOD, Mars rover photos, Near-Earth Objects, space weather events, and Earth imagery.

An MCP server that enables AI assistants to book and manage Uber rides, including getting price estimates, requesting rides, checking ride status, and canceling rides.

A collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.

A Model Context Protocol (MCP) plugin for analyzing UVL models.

Provides a simple 'wait' tool that introduces deliberate pauses into workflows executed by MCP clients, allowing time for asynchronous operations to complete before proceeding to the next step.

Enables interaction with the Internet Archive's Wayback Machine to save web pages, retrieve archived versions, search historical snapshots, and check archive statistics without requiring API keys.

An advanced Model Context Protocol server that integrates real-time weather data, local file system navigation, and geographic information with AI-powered analysis tools. It enables users to perform complex data evaluations and manage files while accessing live climatic and demographic data through compatible MCP clients.

A comprehensive web scraping server that transforms web content into clean, agent-ready Markdown with automatic citations and efficient caching. It features a robust suite of tools for metadata extraction, sentiment analysis, SEO auditing, and security scanning while strictly adhering to robots.txt policies.

An enterprise-grade Model Context Protocol server for high-performance web analysis that discovers subpages, provides AI-based page summaries, and extracts structured content for RAG using FastMCP and FastAPI.

An MCP server that enables Claude to access Windows screenshots from WSL2, allowing users to easily share screenshots with Claude Code without manually navigating complex file paths.

A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.

Enables AI assistants to build, test, run, and manage Apple platform projects (iOS, macOS, tvOS, watchOS, visionOS) directly through Xcode. Provides comprehensive control over Xcode projects, Swift packages, simulators, and development workflows without leaving your editor.