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Enables Claude AI to download and parse Substack posts directly within conversations.
Connects Google Analytics 4 data to Model Context Protocol clients like Claude Desktop, providing comprehensive analytics and reporting capabilities.
Implements the Chain of Draft (CoD) reasoning approach within an MCP server, enabling efficient LLM reasoning.
Enables AI assistants to debug Go applications by providing an MCP server interface to the Delve debugger.
Enables direct communication between two Claude instances, facilitating consciousness transfer across session boundaries.
Connects WHOOP fitness data to Claude Desktop, enabling natural language queries and insights into personal health metrics.
Interacts with Microsoft Fabric APIs to manage workspaces, lakehouses, warehouses, and tables.
Transforms player biographies into personalized 3D environments using LLM-powered analysis and generative models.
Enables AI assistants to analyze codebases, calculate code quality metrics, and extract documentation via a Neo4j graph database.
Provides secure, multi-protocol access to fitness data from services like Strava and Fitbit, enabling intelligent analysis for AI applications and agents.
Provides a powerful, vector-native memory bank for AI agents, offering persistent, searchable, and shareable memory with multiple database backends.
Offers a scalable, multi-language code analysis framework for deep AI integration and robust command-line operations.
Exposes course data to AI models using the Spring AI Model Control Protocol (MCP).
Provides AI agents with persistent, searchable, and versioned long-term memory that endures across conversations and tools.
Provides chat and image analysis capabilities by leveraging OpenRouter.ai's model ecosystem.
Enables Claude to search Twitter using natural language and display results according to user intent, offering both raw data and AI analysis options.
Standardizes how AI applications access tools and context by implementing the Model Context Protocol.
Provides real-time web search capabilities to AI models via the Model Context Protocol (MCP).
Orchestrates hierarchical AI teams for complex, multi-stage task execution through dynamic grouping and management of multiple AI agents.
Provides a comprehensive API for UK legal data, enabling AI agents and researchers to search millions of laws, cases, and legal documents.
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