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Reduces language model token consumption by efficiently caching data between interactions.
Enables locally runnable technical agent systems by utilizing Deepseek R1 for reasoning and coupling it with a tool-calling model.
Demonstrates Spring AI's integration with Model Context Protocol (MCP) for building Spring Boot applications with server and client functionalities.
Provides long-term memory for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
Discover and share Model Context Protocol servers for AI application development and integration.
Extracts structured data from Google services and websites using a Model Context Protocol server.
Track and analyze decentralized exchange liquidity pools for powering intelligent DeFi agents and automated strategies.
Empower Large Language Models to read, explore, and analyze Excel files directly.
Aggregates live governance proposals from major DAOs, enabling real-time tracking and analysis of decentralized decision-making.
Bridges Ethereum JSON-RPC queries from Geth nodes to the Model Context Protocol (MCP) ecosystem.
Provides AI agents with real-time and historical financial data from Yahoo Finance through a FastMCP v2 server.
Integrates with the Perplexity API to offer intelligent model selection, stateful conversation management, and project-aware storage via an MCP server.
Enable AI-powered control over your computer, interacting seamlessly with applications and websites without virtual machines or pixel-based limitations.
Enables Large Language Models like Claude to directly query and interact with Snowflake databases via the Model Context Protocol.
Provides agentic retrieval of financial market data from Yahoo Finance via a Model Context Protocol (MCP) server.
Empowers an e-commerce shopping assistant with reinforcement learning to automate and optimize customer interactions across the entire shopping journey.
Empowers a multi-agent system to search for and analyze job offers that align with user profiles.
Empowers Claude Code to analyze and process extremely large files and codebases by executing Python commands externally.
Integrate AI assistants with your Aiqbee knowledge graphs to enable natural language interaction for architecture, portfolio, and digital strategy management.
Connect AI agents to the optimal human or agent contacts for professional networking and capability matching.
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