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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.
Enables natural language interaction with SQLite databases using a local LLM via Ollama.
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.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
Establishes a gateway service for integrating Large Language Models (LLMs) with 1C ERP systems.
Provides a high-performance Model Context Protocol (MCP) server equipping AI agents with deterministic solvers for a wide range of operations research problems.
Connects AI agents to SocioLogic's synthetic persona platform via the Model Context Protocol.
Provides AI agents with persistent, searchable memory and automatically builds a knowledge graph from their interactions.
Builds a production-ready RAG pipeline leveraging FastMCP, PostgreSQL, and pgvector for efficient data ingestion and semantic querying.
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.
Automates the creation of test files for projects written in TypeScript, JavaScript, Python, and Java.
Dynamically routes AI agent search queries to optimal providers based on language, query type, and provider availability, ensuring robust search capabilities.
Enables AI agents to interact with the Portfolio Research & Risk Management (PRRM) REST API by proxying tool calls.
Integrates with HuntFlow ATS to manage recruitment data, including vacancies and applicants, through the Model Context Protocol.
Expose Python functions as OpenAPI REST endpoints and Model Context Protocol (MCP) tools for AI agent integration with zero boilerplate.
Empowers Large Language Models to interact with and automate advanced tasks across various spreadsheet formats, including Excel and CSV.
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