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Integrate Model Context Protocol (MCP) servers into applications, providing access to a growing ecosystem of specialized AI capabilities.
Enables Claude to interact with locally running LLM models through LM Studio by providing a Model Control Protocol (MCP) server.
Enables MCP clients to efficiently extract information about GitHub repositories, including summaries, directory structure, and file content.
Empowers Claude to improve complex reasoning through a dedicated structured thinking space.
Enables seamless integration between Ollama's local LLM models and Model Context Protocol (MCP) compatible applications.
Bridges multiple OpenAI-compatible LLMs, providing an interface for querying various AI perspectives with tool access.
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).
Facilitates testing and evaluation of MCP servers and agents through an open-source client.
Enables AI-powered search and LLM.txt generation for your website with self-hosting capabilities.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local files using natural language.
Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.
Automates Unity project development by enabling AI to autonomously compile, test, debug, and manipulate projects through integration with AI coding assistants.
Connects Model Context Protocol (MCP) clients like Claude to Agent-to-Agent (A2A) protocol agents.
Enables interaction with CodeQL through structured commands for tools and AI agents.
Extracts web content quickly and converts it to clean, token-efficient Markdown for AI agents and LLM pipelines.
Transforms N8N workflows into Model Context Protocol servers, enabling their use as custom tools with AI assistants like Claude and Cursor.
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
Provides scaffolding, architectural patterns, and validation rules to scale AI coding agents and ensure consistent, convention-following code generation.
Packages an Express server and the MCP SDK into an executable file.
Enables recursive large language model reasoning over long documents by providing tools for iterative exploration, code execution, and evidence accumulation.
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