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This MCP server, developed by @xraywu, provides integration with WeGene's genetic testing API. Built with Python and leveraging Flask, it enables AI assistants to access and analyze users' genetic testing reports from WeGene. The implementation focuses on OAuth authentication, profile retrieval, and report access, making it easier to incorporate genetic data into AI-assisted health and ancestry analyses. It's particularly useful for applications that want to provide personalized insights based on genetic information, enabling use cases such as health risk assessment, ancestry exploration, and trait analysis without requiring deep expertise in genetic data interpretation.

MCP Server for RSS3 integrates the RSS3 API to enable AI assistants to query data across decentralized chains, social media platforms, and the RSS3 network. The server fetches OpenAPI specifications from RSS3 endpoints, converts them to MCP tools, and handles tool listing and execution through a stdio transport. It supports querying blockchain activities, social media content, RSS3 network information (staking, nodes), and AI intelligence data, making it valuable for workflows requiring real-time open web data access without leaving the conversation interface.

Provides immigration eligibility intelligence, enabling AI assistants to match user profiles to visas, compare pathways, and get country overviews using Transita's API.

A deployable MCP server on Cloudflare Workers that enables using custom tools with AI models without requiring authentication.

YouTube Translate MCP server enables AI assistants to access YouTube video transcripts, translations, and summaries through a simple API interface. Built by Brian Shin, it provides tools to retrieve transcripts, translate content to different languages, generate subtitles in SRT or VTT format, create video summaries, and search for specific content within videos. The implementation requires a YouTube Translate API key for authentication and can be run locally using stdio transport or deployed as a Docker container with SSE transport, making it ideal for research, content analysis, and multilingual video accessibility workflows.

An AI-powered financial analyst MCP server that enables stock performance analysis, company comparison, and market trend interpretation directly in your IDE using local AI.

Provides real-time weather data, forecasts, and historical weather information from OpenWeatherMap API for Claude Desktop, enabling natural language queries about current conditions, forecasts, air quality, and weather alerts worldwide.

Provides AI assistants with real-time access to FastAPI documentation, enabling search, browsing, code examples, and comparisons.

Read-only FirstCall-generated MCP server for looking up public API user records.

Enables sending notifications to Telegram via a bot, using only native Node.js APIs.

MCP server: slugify strings for URLs/filenames. Unicode-aware, configurable separator, case folding.

An MCP server that connects to Tana's Input API, allowing Large Language Models and other MCP clients to create and manipulate data in Tana workspaces.

Enables AI assistants to interact with GitLab repositories, manage branches, create merge requests, and perform file operations through natural language.

Provides live LLM pricing data from OpenRouter, enabling agents to search models, get pricing, estimate costs, and compare models.

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 for Blackhearts & Sparrows product data that enables searching products, retrieving details, listing stores, and managing carts via a sandboxed TypeScript execution environment.

A modular MCP server that provides custom tools for AI assistants to interact with the DemoTool project codebase, starting with a hello world tool.

Enables AI clients to quote, ship, track, void, and manage shipments via the Deftship multi-carrier shipping API using natural language commands.

Enables querying the DuckDuckGo Instant Answer API through the Model Context Protocol, allowing users to perform searches and retrieve instant answers.

Enables AI assistants to fetch dog breed data, including descriptions, attributes, and group information, via the Dog API through natural language queries.