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Manages and provides access to text notes via URIs and metadata, facilitating LLM summarization.
Automates machine learning workflows, from data analysis to model deployment, with Model Context Protocol integration.
Exposes a collection of read-only macOS terminal utilities to MCP clients.
Automates Subversion (SVN) repository operations, exposing them as tools for agent-driven workflows and seamless version control integration.
Enables AI agents and users to query, analyze, and manage Teradata data efficiently through a Model Context Protocol server with various tools and prompts.
Enables AI assistants and developers to fetch, explore, and analyze source code from any Python package on PyPI.
Delivers real-time GitHub trending project data through a REST API and Model Context Protocol (MCP) for AI assistants.
Integrate with the Steam Web API to access game libraries, achievements, playtime statistics, and other player data.
Enables comprehensive Google Calendar management, including OAuth2 multi-account support and event scheduling, for Model Context Protocol (MCP) clients.
Build a horizontally scalable web and news search engine with a crawler, indexing pipeline, and a FastAPI search API.
Integrate SQLite database operations directly into AI clients through a Model Context Protocol (MCP) server.
Empowers AI agents with instant, real-world API access for flight search, prediction markets, and DeFi trading via a single Model Context Protocol endpoint.
Attaches `debugpy` to live Python processes within Docker containers for enhanced debugging, log retrieval, and breakpoint planning.
Facilitates AI interaction and automated trading on the Kalshi prediction market.
Catalogs repositories with structured metadata, audit evidence, and inter-repo relationships, exposing this knowledge via CLI and an MCP server for AI-integrated workflows.
Access Steam data and user-specific information for profiles, game libraries, achievements, and news, with a focus on Chinese user scenarios.
Integrates Forgejo repositories with AI assistants, enabling natural language interaction for development tasks.
Exposes Optimizely CMS 12 content operations as callable HTTP tools for AI assistants.
Manages task queues with a web-based interface and comprehensive REST API for efficient task and queue administration.
Provides persistent structured memory, semantic search, and reindexing capabilities for AI clients using local embeddings and LanceDB.
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