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Builds Model Context Protocol (MCP) servers for connecting LLMs to real-world data sources.
Provides a Laravel package for interacting with Model Context Protocol (MCP) servers and implementing MCP servers.
Answers natural language questions by querying and summarizing Wikipedia content through an MCP-compatible interface.
Retrieves user geolocation information for integration with large language models via the Model Context Protocol.
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Facilitates secure and structured assimilation of experiences, thoughts, and reasoning processes between multiple AI models.
Orchestrates multiple MCP services by positioning Llama Maverick as the central AI brain for intelligent management and request routing.
Automates DeFi operations, analytics, and token management on the Telos blockchain through a production-ready Model Context Protocol (MCP) server.
Empowers AI assistants to perform web automation tasks by controlling a browser through a Model Control Protocol (MCP) server.
Provides real-time weather data and forecasts for cities worldwide using natural language queries and the OpenWeatherMap API.
Provides AI-powered assistance for multi-destination travel planning, integrating real-time information and personalized itinerary generation.
Integrates conversational AI with warehouse-native analytics, enabling natural language querying and exploration of data warehouses.
Manages RAG-enabled memory with a PostgreSQL/Supabase backend, providing knowledge graph, document management, and semantic search capabilities for AI applications.
Enables AI agents and applications to control and monitor Universal Robots through a standardized Model Context Protocol interface.
Integrates a local large language model with Google Calendar and Gmail, providing a natural language web chat interface for personal data management.
Provides a local-first, assistant-agnostic persistent memory engine for AI agents, featuring advanced hybrid retrieval and neuroscience-inspired memory management.
Detects and evaluates compliance with EU AI Act requirements in codebases through static analysis.
Integrates Census Transportation Planning Products (CTPP) API data, covering commuting and journey-to-work statistics, directly into MCP-compatible AI clients.
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