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Converts Stdio Mcp Servers to Restful APIs, simplifying deployment and integration with web services.
Provides a TypeScript example for building MCP servers.
Provides automated, multi-language code feedback, validation, and project analysis through a secure API.
Establishes a standardized communication framework for managing context with AI models.
Empower hands-free control of your Claude Code coding environment on macOS using voice commands.
Automate and streamline the editing and modification of Excel files through command-based processing.
Facilitates interactive chat with AI models, integrating document retrieval, command-based prompts, and extensible tools via the Model Context Protocol.
Optimizes LLM interaction with RBT documents by enabling partial operations, drastically reducing token usage for editing specific content sections.
Provides access to the Hugging Face Inference API, enabling the execution of over 200,000 machine learning models for diverse AI tasks.
Streamlines the development and maintenance of applications built with the Carbon Design System through a local server providing an array of automated tools.
Provides current day and ISO formatted date information to AI assistants via the Model Context Protocol.
Demonstrates the Model Context Protocol (MCP) server capabilities with support for both Stdio and Server-Sent Events (SSE) transports.
Provides comprehensive Google Maps functionality, including places search, geocoding, and directions, through a Model Context Protocol (MCP) interface.
Connects Claude AI to real estate data, enabling retrieval of basic property information through the ATTOM Data API.
Unifies access to oracle AI models such as Codex or Claude through a command-line interface for enhanced decision-making.
Integrates YApi API documentation directly into MCP-supported editors like Cursor for seamless access.
Provides a local web interface for interacting with Ollama models and secure system tools, with conversation history.
Generate, validate, and persistently store AWS architecture diagrams directly from Python code using intelligent tools.
Performs semantic file search for AI workstations leveraging HNSW indexing and local embeddings via Ollama to efficiently locate relevant code and content.
Wraps the `nb` CLI to enable LLM-friendly note-taking by resolving shell escaping and explicit notebook context challenges.
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