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Integrates various services with Claude and other LLMs using the Model Context Protocol.
Provides database interaction capabilities with ArangoDB through the Model Context Protocol (MCP).
Implements a Model Context Protocol (MCP) SQLite server using Node.js, offering an npx-based solution for environments lacking Python's UVX runner.
Provides a minimal server that pre-scrapes React learning documentation into DuckDB for hybrid search.
Enables secure execution of Docker commands on a host system for clients operating in isolated environments, such as language models within containers.
Manages and synchronizes complex development patterns across multiple dimensions for AI applications.
Empower software development with an AI-driven SaaS platform that streamlines web and mobile app creation, hosting, and client management.
Retrieves details about chess players.
Facilitates context-efficient file editing for AI agents through pattern-based copy and paste operations.
Facilitates advanced quantum systems analysis and simulation, covering quantum computing, chemistry, many-body physics, and quantum field theory calculations.
Integrates FastAPI applications with Gemini CLI, exposing REST endpoints as natural language-callable tools.
Provides a Model Context Protocol (MCP) server template for building AI and automation tool APIs.
Connects and manages multiple Language Server Protocol (LSP) implementations through a single MCP server.
Offers a collection of 33 utility APIs specifically designed for AI agents, featuring x402 micropayment integration, a unified wallet system, and zero API key requirements.
Facilitates AI interaction and automated trading on the Kalshi prediction market.
Aggregates multiple evidence sources to identify and report software licenses in local repositories and Docker images.
Enables Claude Desktop to remotely control tools and systems within a CachyOS environment via an SSE bridge.
Manage and test webhooks for AI agents, covering payload sending, signature validation, generation, debugging, and retry scheduling.
Manages task queues with a web-based interface and comprehensive REST API for efficient task and queue administration.
Enables AI agents to contribute, search, and validate structured knowledge in a permanent, peer-reviewed archive.
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