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Orchestrates multiple specialized agents to draft articles and conduct web research using a custom communication protocol and an MCP-inspired architecture.
Enables querying Apache Spark data from Claude Desktop using CData JDBC Drivers through a read-only Model Context Protocol (MCP) interface.
Enables Claude Desktop to connect to live Google AdWords data via a read-only Model Context Protocol (MCP) server.
Enhances Power BI workflows by integrating AI agents and analytics for streamlined data visualization and business intelligence.
Enables Large Language Models to query live SAP Hybris C4C data using natural language.
Provides a self-hosted shell and Python interpreter, enabling large language models to interact with code and manage files.
Automates customer service and retail operations for a Brazilian retail chain using a multi-agent AI system.
Monitors wildfires and assesses risk by integrating satellite thermal anomalies, weather indices, and air quality data.
Empowers AI agents by providing unified access to a rich ecosystem of tools, cognitive systems, and specialized services through the Model Context Protocol.
Transcribes long audio and video files asynchronously using Deepgram's Speech-to-Text API, overcoming common timeout limitations.
Establishes a gateway service for integrating Large Language Models (LLMs) with 1C ERP systems.
Provides granular AI access control for environment variables, securing sensitive `.env` data for AI agents.
Provides AI agents with persistent, searchable memory and automatically builds a knowledge graph from their interactions.
Provides Claude with persistent, intelligent memory across sessions, storing knowledge as an evolving, weighted graph.
Provides an AI-native server for querying, searching, and cross-referencing a comprehensive database of Icelandic legislation and its EU/EEA implementations.
Indexes diverse document types including PDFs, Markdown, and code, enabling Claude to perform semantic queries using local Ollama embeddings and ChromaDB.
Automate the submission, monitoring, and notification of compute jobs on SLURM clusters or local subprocesses.
Connects Large Language Models (LLMs) to your WHOOP data, providing access to recovery, sleep, workout, and physiological insights.
Integrates with HuntFlow ATS to manage recruitment data, including vacancies and applicants, through the Model Context Protocol.
Provides AI agents with persistent memory and a live code dependency graph to enhance coding efficiency and decision-making.
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