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Enables interaction with Shopify store data through a GraphQL API.
Simplifies the integration of blockchain functionality into applications via a comprehensive set of tools and libraries.
Enables integration between Model Context Protocol (MCP) clients and the Handwriting OCR service.
Integrates Google Chat with Model Control Protocol (MCP) servers, enabling access and interaction with Chat spaces and messages through MCP tools.
Enables multi-agent conversations through a standardized interface using Microsoft's AutoGen framework.
A curated list for discovering and exploring Model Context Protocol (MCP) server implementations and related tools.
Fetches web content in multiple formats, supporting browser and Node.js environments with intelligent proxy detection.
Deploys a Model Context Protocol (MCP) server on Vercel using Nuxt.js.
Provides an MCP server enabling AI assistants to generate and edit images using OpenAI's gpt-image-1 model.
Generates and runs mock API servers from API documentation, such as OpenAPI/Swagger specifications.
Provides access to the AlphaFold Protein Structure Database through a suite of tools for protein structure prediction analysis.
Facilitates intuitive, conversational interactions with Pega Infinity applications by bridging DX APIs with natural language interfaces.
Provides a high-performance, Rust-based server and client for dynamic sequential problem-solving using the Model Context Protocol.
Orchestrates comprehensive cryptocurrency and Web3 analytics, providing AI assistants with unified access to market data, DeFi insights, and on-chain information.
Integrates the Parallel Search API directly into MCP-compatible LLM clients for web search tasks.
Connects AI assistants to personal Strava fitness data via a Model Context Protocol (MCP) server, featuring OAuth authentication and real-time workout notifications.
Transforms single-file TypeScript classes into production-ready Model Context Protocol (MCP) servers.
Aggregates complete developer documentation for WeCom and Feishu open platforms, enabling rapid retrieval and review of interface documents within AI programming assistants.
Enables 1C:Enterprise applications to function as Model Context Protocol (MCP) servers, exposing business logic to AI clients.
Enables seamless, secure, and decentralized peer-to-peer communication for AI agents across diverse networks without central servers or public IPs.
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