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Demonstrates Model Context Protocol (MCP) server capabilities with Server-Sent Events (SSE) support through a word reversal utility.
Implements a Model Context Protocol server compatible with both OpenAI and Claude, facilitating communication between AI models and external contexts.
Summarizes chat messages based on user-defined prompts and queries.
Provides a Vercel-deployable template for building custom Model Context Protocol servers with extensible functionalities.
Provides a server template for deploying custom tools and resources on Vercel.
Enables voice control and management of Spotify playback through Claude Desktop or other MCP-enabled clients on Windows.
Provides a server-side service for converting Markdown to HTML.
Indexes code repositories into PostgreSQL with pgvector for production-grade semantic code search tailored for AI coding assistants.
Delivers official Next.js 16 documentation directly to AI assistants and editors to ensure accurate and up-to-date development guidance.
Enables AI models to interact with Jira through a standardized Model Context Protocol (MCP).
Generates a Multi-Agent Conversation Protocol (MCP) server for the NASA Astronomy Picture of the Day API.
Provides a tool-based interface to a locally running LightRAG HTTP API, enabling programmatic interaction with its capabilities.
Provides AI assistants with access to browse and read files from specified GitHub repositories using the Model Context Protocol.
Provides basic math operations through an API for MCP-compatible clients.
Integrates the Model Context Protocol as a server for various Large Language Model (LLM) clients, enabling enhanced context management.
Delivers real-time Beijing timezone information and formatted time data through a Model Context Protocol server.
Generates commit messages from git staged files, facilitating Gitflow workflows.
Exposes MCP-style HTTP endpoints for integrating a file search utility into Spring Boot applications.
Generates a core palette color scheme using Google's Material Color Utilities library based on a provided seed color.
Enables AI agents to access medical AI capabilities via a RESTful API, facilitating advanced diagnostic support and personalized healthcare.
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