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Exposes any web application with an OpenAPI specification as a Model Context Protocol (MCP) server.
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Orchestrates access to OpenAI, Google Gemini, and Azure AI models through a unified Model Context Protocol (MCP) interface for enhanced coding workflows.
A collection of guides, utilities, clients, and servers developed while exploring and implementing the Model Context Protocol (MCP).
Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.
Enables Claude to access and utilize the Kagi search engine for enhanced conversational AI experiences.
Facilitates live reverse engineering of Android applications by connecting JADX decompiler with local LLMs via Model Context Protocol (MCP).
Enables Java AI application development for various scenarios, supporting LLM, Function Call, RAG, and more.
Enables AI assistants to interact with and control a Home Assistant instance using the Model Context Protocol.
Enables browser automation capabilities using Playwright for LLMs to interact with web pages.
Unify code indexing, hybrid search, and LLM decoding into a plug-and-play retrieval stack for rapidly deploying context-aware AI agents.
Provides AI coding agents with symbol-aware semantic search for precise context on large codebases.
Empower developers to rapidly prototype, develop, and deploy scalable AI-powered applications, including workflows and agents, using a unified TypeScript stack.
Exposes GraphQL operations as Model Context Protocol (MCP) tools.
Enhances Claude's ability to solve complex programming tasks by enabling structured, step-by-step reasoning.
Simplify third-party API integrations with an open-source API gateway.
Implements the Model Control Panel (MCP) protocol to interact with Apache Doris databases, enabling tasks like query execution and metadata management.
Integrates Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports for agent tool orchestration.
Enables Large Language Models to interact with KiCAD for natural language-driven printed circuit board design.
Enables AI assistants to augment their responses with context from documentation through vector search and retrieval.
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