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Provides HTTP access to Multiple Command Protocol (MCP) tools via a REST API.
Enables LLMs and AI assistants to access real-time Dota 2 statistics, match data, and player information through a standard interface.
Provides AI assistants with a secure and structured way to explore and analyze ClickHouse databases.
Serves search queries against a SQLite database of the Quran.
Demonstrates a Model Context Protocol (MCP) client implementation using Web Workers and Server-Sent Events (SSE).
Manages and automates interactions with Nature Remo devices through an MCP server.
Extends AI assistant capabilities with example Model Context Protocol (MCP) servers written in Rust.
Enables integration with 2 million hotels, providing shopping and booking capabilities via the Model Context Protocol (MCP).
Integrates Model Context Protocol (MCP) functionality into a Starlette web application using Server-Sent Events (SSE).
Empowers AI agents by providing access to indexed blockchain data from The Graph.
Enables AI assistants to interact with Baserow databases using natural language.
Scrape web pages and extract targeted content using CSS selectors through the Model Context Protocol.
Integrates the AivisSpeech text-to-speech engine with AI assistants and applications for natural Japanese speech synthesis.
Provides a lightweight, non-blocking transport layer for integrating Model Context Protocol (MCP) servers with Vert.x applications.
Provides a standardized interface for AI assistants to interact with the CodeQL N1ght tool for automated code analysis.
Connects SE Ranking's comprehensive SEO data API with modern AI assistants to enable natural language-driven SEO analysis and insights.
Integrates the Get Notes API into an MCP server, enabling AI-powered search and raw recall of knowledge from personal knowledge bases.
Integrate with PayPal APIs through function calling, enabling AI models and MCP hosts to interact with various PayPal services.
Processes various document formats including PDF, PPTX, DOCX, and images, offering true asynchronous, concurrent, and batch parallel processing with natural language interaction for enhanced performance.
Establishes a shared, persistent memory layer for AI agents, enabling them to recall user preferences and past interactions across various platforms.
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