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Implements a knowledge graph memory server enabling Claude to remember user information and learn from past errors through a lesson system.
Delivers real-time weather and forecasts for any location via a friendly chat interface.
Provides AI-powered financial analysis and portfolio management services using a Node.js-based intelligent agent system.
Enables the application of Model-Context-Protocol concepts through an agent-based programming approach.
Grants LLMs comprehensive access to curated public data on the 35 most relevant companies in the Spanish stock exchange, covering market, governance, and financial insights.
Provides a Model Context Protocol server that integrates with Fal.ai's platform, offering access to over 600 AI models and workflows through various MCP clients.
Extracts SQL statements from MyBatis Mapper XML files, generates mock parameters, and executes tests against databases.
Connects Confluence with various AI models lacking native Model Context Protocol support, enabling secure and intelligent access to internal knowledge bases.
Manages and serves local knowledge graphs for integration with various client applications.
Provides advanced options analysis and strategy evaluation through Yahoo Finance, enabling LLMs to process options chain data.
Exposes the Frankfurter API for currency exchange rates as tools for language model agents over the Model Context Protocol.
Integrates Google services like Gmail, Calendar, Drive, Sheets, and Keep with an intelligent multi-provider LLM fallback system for enhanced productivity.
Provides AI assistants with direct access to over 1.6 million Swiss health insurance premium records from 55 insurers across 11 years (2016-2026).
Experiment with AI agent architectures, LLM integrations, and API routing using a modular Python playground.
Provides comprehensive real-time market data, technical analysis, options analytics, and portfolio management for the Indian stock market.
Provides AI agents with rigorous, cited web search capabilities through Google Gemini CLI's built-in grounding.
Enables AI agents to control Arduino-compatible microcontrollers by exposing their peripherals as discoverable JSON-RPC 2.0 tools.
Ensures reliable multi-agent system operations by validating data handoffs and preventing coordination failures with zero LLM costs.
Automates B2B lead scoring with engagement tracking and prioritization for sales and marketing efforts.
Organizes and searches Paperless-ngx documents using local AI for auto-classification, receipt extraction, and accounting export.
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