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Demonstrates a simple MCP server built with FastMCP, emphasizing modern Python environment and package management.
Unify repository management across GitHub, GitLab, Gitea, and Bitbucket through a single Model Context Protocol server.
Generates structured, high-quality prompts based on the LangGPT framework for enhanced AI interactions.
Enables AI assistants to conduct natural language searches across structured databases and unstructured content like documents, videos, and files.
Provides browser automation capabilities to large language models by leveraging Playwright's accessibility tree for web interaction.
Exposes Twilio's comprehensive suite of APIs to AI assistants and other tools via the Model Context Protocol.
Integrates Leantime project and ticket management with AI assistants via the Model Context Protocol.
Enables ChatGPT Desktop to store, search, and manage conversation history and documents locally.
Empowers AI assistants to generate, validate, and manage wireframes using the Wireweave DSL through a comprehensive suite of 32 tools.
Enables AI assistants to interact with EV charging infrastructure through the Open Clearing House Protocol (OCHP).
Manages personal notes using a LangChain-based AI agent and custom tools.
Consolidates development history, test results, and AI chat sessions into a searchable database for AI-assisted coding.
Provides a command-line interface for interacting with the Walutomat currency exchange platform.
Manages and summarizes notes using a Model Context Protocol server, integrating Retrieval Augmented Generation (RAG) and Large Language Models (LLMs).
Assists AI coding clients like Claude Code and Gemini CLI with accurate Pine Script v6 programming by providing quick access to its reference manual.
Implements a Model Context Protocol server with integrated large language model support and persistent chat memory.
Provides AI agents with access to Federal Acquisition Regulations (FAR) for querying government contracting rules.
Facilitates high-performance expert discovery, registration, and context injection using vector and graph database integration for enhanced semantic search.
Retrieves transcripts from YouTube videos using the Model Context Protocol.
Analyzes Java projects and exposes analysis tools via the Model Context Protocol (MCP).
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