Unified tool suite delivering crypto/stock insights, startup ideas, CSV/PDF analytics, and web utilities via standard APIs.

A specialized Model Context Protocol (MCP) server for healthcare environments

OpenWeatherMap-based data toolkit delivering current weather, forecasts, air quality, and geocoding with multi-transport access, strong validation, and extensive tests.

Atomic tools to search Reddit posts, comments, subreddits, and profiles with detailed results and trending insights.

A Python tool enabling ground-state optimization of 1D/2D quantum models using TTNS, DMRG, and VUMPS with TFIM, hard-core bosons, and XXZ models.

Flexible Model Context Protocol integration to read Datagroom data and empower LLM-driven reasoning with dataset metadata.

Feature-rich YouTube analytics backend offering transcripts, sentiment analysis, and cached exports with robust quota management—distinctive data collection and media handling.

Production-ready ticketing powered by MCP, RAG search, and Semantic Kernel with Azure OpenAI.

A Model Context Protocol (MCP) server for Markdown document structure analysis and navigation

MCP-powered analysis of SOTA univariate anomaly models for constant target trends, offering automated literature benchmarking and docs.

Real-time monitoring with battery health, alerts, and maintenance insights for EG4 solar systems.

An MCP-powered AI agent that scrapes company news, analyzes sentiment and topics with GPT-4o, and renders dynamic charts via AntV.

An R-based MCP server enabling Claude Desktop to load, transform, and visualize large datasets using tidyverse, Arrow, and DuckDB.

Web-focused data extraction and content enrichment solution with smart parsing, metadata, and scalable fetching.

Lightweight Python MCP interface enabling standardized exchange of metabolomics data contexts with pluggable adapters and a developer-friendly CLI.

AI-driven vulnerability data collection and patch generation with end-to-end automation and deployment focus.

Production-ready HAP MCP toolkit enabling dual transport, TypeScript safety, and seamless AI tool integration for enterprise apps.

Open protocol adds ontology-based semantics to service interactions, enabling capability-driven discovery, data grounding, and cross-domain tool integration for smarter LLM agents.

Agentic RAG MCP orchestrates specialized agents for ingestion, retrieval, and Gemini-powered answers via Streamlit.

Streamlit-based RAG chatbot grounding answers from PDFs and other formats using Google's Gemini API for verifiable, source-backed responses.

Local, private document QA with agentic ingestion-retrieval flow, FAISS indexing, and Ollama-backed on-device LLMs for multi-format PDFs, docs, and slides.

Modular, high-performance RAG chatbot with REST-driven architecture, two-stage retrieval, precise citations, and multi-format document QA.

Agentic RAG chatbot for multi-format documents with a custom Model Context Protocol for inter-agent messaging, local LLM via Ollama, and FAISS-powered retrieval.

Provides real-time production, performance analytics, health monitoring, and AI-driven maintenance insights for multi-system solar installations.