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Enables Claude to maintain user context and manage profiles through Apache Unomi, a Customer Data Platform.
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.
Integrates Tavily's search API with LLMs to provide intelligent web search capabilities.
Enables Large Language Models to query local Nostr databases using the `ndb` command-line tool.
Enables interaction with the Garmin Connect API to manage user data.
Demonstrates how to set up a Model Context Protocol (MCP) server and client using Server-Sent Events (SSE) for LLM prompting.
Connect debuggers such as GDB, LLDB, and PDB to LLM agents using the Model Context Protocol.
Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.
Exposes Microsoft Exchange data to LLMs like Claude Desktop through a read-only MCP interface.
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.
Transforms raw text into interconnected knowledge graphs and autonomously generates insights through advanced pattern detection.
Connects Claude Desktop to a local Large Language Model (LLM) instance powered by llama-server.
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
Enables AI models and CLI tools to connect with and manage Jupyter Notebooks for interactive data analysis and machine learning.
Facilitates powerful academic paper search and analysis through the AMiner API within a Model Context Protocol server.
Serves Colombian inflation data and related tools via a remote Model Context Protocol (MCP) server.
Enables semantic search of past Claude Code session transcripts and intelligent session forking to instantly resume relevant conversations.
Empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules through a powerful Model Context Protocol (MCP) server and Omni-AST engine.
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