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Generates code call graphs and serves them via the Model Context Protocol (MCP) for AI application integration.
Retrieves historical climate and meteorological data from the AEMET API for use with MCP-compatible clients.
Integrates Model Control Protocol (MCP) services into Spring Boot web applications with minimal configuration.
Connect AI agents to Tigris object storage for seamless bucket and object management.
Interfaces with the USDA NASS Quick Stats API to provide agricultural survey and census data to agentic AI systems.
Enables large language models to intelligently read, process, and navigate long-form documents.
Showcases Agent Communication Protocol (ACP), Agent-to-Agent (A2A), and Model Context Protocol (MCP) capabilities through a collaborative research swarm.
Integrates a continuous, background cognitive processing system that enables AI models to think between conversations.
Enables AI assistants to perform complex chemical calculations, thermodynamic modeling, and process engineering tasks through Model Context Protocol (MCP) servers.
Enables AI assistants to securely access and analyze OKX trading and portfolio data.
Empowers large language models with symbolic reasoning capabilities using Answer Set Programming and the Clingo solver.
Enhances LLM agent capabilities with semantic code search, structural code views, and an intelligent workspace TUI for efficient context management.
Empower AI agents and desktop clients to generate music through natural language commands using an advanced AI music platform.
Empowers AI with autonomous hardware control for proactive, physiological, and boundary-aware interactions using Lovense devices.
Enhance Apple Notes with semantic search and full CRUD operations, integrating natural language management via MCP clients.
Provides access to the Central Bank of Brazil's (BCB/SGS) time series data, including economic and financial indicators, via the Model Context Protocol.
Enables AI agents to access the Norwegian SSB API for statistical data.
Provides persistent AI memory and context recall for conversations within the Zed editor using advanced semantic search.
Prevents technical debt and security vulnerabilities by performing AI-powered pre-commit code quality analysis with ML semantic capabilities across 21 languages and formats.
Enables AI agents to control Android devices programmatically via a Python client, bypassing the need for root access or ADB.
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