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Analyzes images using OpenRouter vision models like Claude-3.5-sonnet and Claude-3-opus through a simple interface.
Provides access to Formula One data and statistics using the FastF1 Python library through a Model Context Protocol (MCP) interface.
Aggregates and returns YouTube video IDs and metadata based on user-defined search queries.
Demonstrates how to set up a Model Context Protocol (MCP) server and client using Server-Sent Events (SSE) for LLM prompting.
Enables AI agents to interact with online meetings and generate meeting summaries.
Provides a modular framework for developing AGI agents using a Master Control Program (MCP) architecture.
Connect debuggers such as GDB, LLDB, and PDB to LLM agents using the Model Context Protocol.
Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.
Automates git commits on behalf of AI, enabling tracking of AI contributions in a codebase.
Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.
Enables data querying and export operations across diverse databases.
Enables AI assistants to search and analyze PubMed medical literature with advanced filtering, citations, and research tools.
Provides AI assistants with comprehensive access to your Plex Media Server for natural language interaction, queries, and management.
Enhances the management and exploration of GitHub starred repositories through semantic search and AI agents.
Integrates the AivisSpeech text-to-speech engine with AI assistants and applications for natural Japanese speech synthesis.
Provides a comprehensive AI-powered fitness tracking application that integrates with intelligent AI assistants via the Model Context Protocol (MCP).
Provides an MCP server interface, enabling large language models to interact with Hydrolix clusters for executing SQL queries and introspecting database schemas.
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
Provides AI assistants with access to query and retrieve topic-specific knowledge from recursively crawled web pages and integrated data sources.
Transforms AI assistants into powerful offensive security companions by providing seamless access to professional penetration testing and CTF-solving tools from Kali Linux.
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