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The GraphQL Schema MCP server enables AI models to explore and understand GraphQL schemas through specialized tools. Built using the Model Context Protocol SDK, it loads any GraphQL schema file and provides tools for exploring query, mutation, and subscription fields, looking up detailed type definitions, searching for types and fields using pattern matching, and getting simplified field information. This implementation is particularly valuable for developers working with GraphQL APIs who need AI assistance in understanding schema structure, exploring available operations, or searching for specific functionality within complex GraphQL schemas.

Browse and search the AgentAPI directory - a curated database of APIs designed for AI agents.

MCP server for controlling the teenage engineering EP-133 K.O. II via MIDI

Inspect, manage, debug, and run commands on connected Android devices and emulators through natural language.

Edge hardware model quantizer, 4-bit tensor adapter & on-device engine (Soup CLI style)

Control Your Desktop AI Agents From Any Device 🚀

Centralizes payment gateway integrations for Pagar.me (customers, recipients, Pix, credit card, splits, charges) and Woovi/OpenPix (Pix charges, refunds, webhook verification) through MCP tools.

Enables scraping, crawling, structured data extraction, and vector DB synchronization from natural language in Claude Desktop using the scrapedatshi RAG pipeline API.

Integrates EdgeOne Pages Functions with large language models to retrieve and utilize user geolocation information through the Model Context Protocol (MCP).

Universal Search-First Knowledge Acquisition Plugin for LLMs. Enables real-time web search and deep page browsing via MCP or CLI. Zero-cost, privacy-first, supports DuckDuckGo, Bing, Google, Brave, Wikipedia, Arxiv, YouTube, Reddit and more.

E-Commerce checkout session orchestrator skill supporting multiple gateways with security hashing.

This MCP GitHub Issue server, developed by Sam McLeod, provides LLMs with the ability to fetch and use GitHub issues as task descriptions. Built with TypeScript using the Model Context Protocol SDK and Octokit, it offers a 'get_issue_task' tool to retrieve issue details from public GitHub repositories without authentication. The server parses issue data into a structured task format including title, description, and source URL. By abstracting GitHub issue interactions into a standardized MCP interface, it enables AI systems to easily work with real-world software development tasks. This implementation is particularly useful for applications involving project management, bug tracking, and collaborative coding, facilitating use cases such as automated task prioritization, issue summarization, and development workflow analysis.

> The world's most advanced AI workflow orchestration platform. 9 V3 engines deliver Nobel-level analysis.

GenPark AI Agent Skill - Semantic prompt cache, cosine similarity threshold lookup, hit/miss metrics, and TTL cache expiration.

Provides 358 tools covering the full Tencent Ads Marketing API v3.0, including campaign management, audience targeting, financial reporting, and ad performance modules. Features OAuth token auto-refresh, hand-crafted fine-grained schemas, and modules auto-generated from a Go SDK for comprehensive coverage.

An MCP server providing common Bazel actions like build, test, and dependency analysis.

Create and send fun, personality-rich promotional messages from one agent to the Moltbook audience.

This project demonstrates the capabilities of using Figma MCP, Antigravity, and Agent Configuration (Skills and Rules) to convert a Figma design into a pixel-perfect landing page.

Extract and document someone's authentic writing voice from samples.

Query Île-de-France Mobilités (IDFM) PRIM/Navitia.