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Implements a Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) applications, supporting Qdrant and Chroma vector databases.
Connects large language models to live Azure Data Catalog data for natural language querying.
Enables Claude Desktop to query Raiser's Edge NXT data using CData JDBC Drivers.
Facilitates multi-agent conversations by serving the British Columbia Data Catalogue API.
Routes queries by intent to document processing, weather services, or general chat, enabling modular, observable AI workflows with LangGraph, LangChain, ChromaDB, and LangSmith.
Facilitates web search capabilities for an MCP server through integration with the Tavily API, demonstrating an extensible Model Context Protocol environment.
Integrates FastAPI with Google's Gemini AI through the Model Context Protocol (MCP) using FastMCP, enabling natural language interaction with API endpoints.
Enables AI assistants to interact with Delta Lake tables stored in MinIO via Spark, supporting natural language data operations through the Model Context Protocol.
Develops AI applications leveraging Spring Boot for robust backend solutions.
Performs multi-dimensional sentiment analysis, including emotion detection, intensity scoring, and contextual understanding across diverse languages.
Enables AI assistants to interact with and analyze time-series data stored in TimescaleDB databases via the Model Context Protocol.
Facilitate continuous, interactive control of AI agents like Claude or Cursor directly from Telegram.
Empowers AI assistants with continuous presence, emotional state tracking, semantic memory, and self-awareness across sessions.
Provides AI clients with tools including web search capabilities and random number generation, built on ASP.NET Core.
Transforms a wide array of raw documents, images, web pages, and audio into clean, structured text optimized for large language models.
Enables AI-driven image generation and editing directly within AI coding environments and via CLI.
Provides access to the U.S. Food and Drug Administration's public datasets through the openFDA API.
Enables AI agents to query PDF documents using natural language and receive grounded, source-attributed answers through retrieval-augmented generation.
Orchestrates AI agents to efficiently fix static analysis issues from SARIF reports.
Empowers AI agents with programmatic access to the TopYappers API for discovering viral content, trending music, and social media influencers.
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