Found 9 repositories(showing 9)
vasstavkumar
A model that uses streamlit as frontend and MCP server(notion and postgres tools) and FAST API for integration
pandu992003
AI-powered weather agent that uses the Model Context Protocol (MCP) to connect OpenRouter LLMs with real-time OpenWeatherMap data, exposed via a FastAPI MCP server and a Streamlit chat UI, fully containerized with Docker and auto-deployed to EC2 using GitHub Actions CI/CD.
SOUMAYSIKCHI
AI Research Assistant is a FastAPI-powered research engine that blends Groq LLMs, LangChain RAG, MCP tools, and real-time web search to generate intelligent, structured company account plans. It supports conversational analysis, conflict resolution, chart-ready data, section editing, and a full interactive UI.
himudigonda
An OpenRouter-grade LLM Inference Gateway with a premium AI Workbench UI. Built with FastAPI, LangGraph, MCP, and React.
Lakshya23
A production-style AI agent system implementing Model Context Protocol (MCP) architecture with Ollama LLM, FastAPI backend orchestration, and Streamlit UI.
VivekMohape
MCP-Stock-Analyzer is a multi-agent stock analysis system built on Model Context Protocol (MCP), combining OpenAI’s OSS-20B LLM, LangGraph workflows, and yfinance-powered market data to deliver fast, auditable technical and fundamental insights through a FastAPI backend and Streamlit UI.
varshhhy7
SahiPick-AI is an AI shopping concierge that gives a single, well-argued product recommendation instead of long lists, using a multi-agent LangGraph pipeline, Groq LLM, mem0 memory, FastAPI API, Streamlit UI, and an MCP server for tools.
AkkaSingh11
Agentic LangGraph app that ingests menu images, applies Tesseract OCR, and routes text through Groq/OpenRouter LLM agents to identify vegetarian dishes while an MCP/RAG layer validates totals with ChromaDB. FastAPI orchestrates services and Streamlit offers an interactive testing UI.
yathik-2622
🧠 Cortex: An advanced AI Orchestrator built on the Model Context Protocol (MCP). Features a premium React UI with real-time "Chain of Thought" reasoning logs, streaming responses, and a decoupled Python backend using LangGraph, Groq, and local RAG.mcp-protocol ai-agent langgraph react fastapi groq rag llm-orchestrator chain-of-thought vite
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