mongodb-mcp

In this we implement an mcp server agent of mongodb

A demo MCP server for MongoDB built using Embabel. It showcases how AI agents can interact with MongoDB through the Model Context Protocol, enabling operations such as listing databases, fetching collections, executing simple and complex queries, managing indexes, creating collections, and inserting documents

An MCP client with Embabel that connects to a MongoDB MCP Server and executes MongoDB operations from an AI agent via natural language commands.

InstaviZ is an AI‑powered data visualization platform built with Next.js and Node.js. Upload CSV files, chat with your data using AI, and generate dynamic charts through natural language queries.

Mycelium is an autonomous agent system that prevents engineering knowledge loss as teams and codebases evolve. It infers who understands what in a codebase, where knowledge is fragile, and acts directly inside GitLab to stabilize it.

Instant data visualization project created using Node.js + Express backend in TypeScript. Handles CSV ingestion, MongoDB storage,MongoDB-MCP,Gemini-api

An autonomous 7-Agent crisis response swarm powered by Gemini 3 Pro & MongoDB MCP. Features a 3-tier LLM failover circuit for zero-hour disaster routing.

Instaviz is a website for instant data visualization created using next-js AI‑powered data analysis, chart generation, authentication, and guest users.

EarningsEdge — Real-time AI cockpit for retail investors. Gemini 3 + Google Cloud Agent Builder (ADK) + MongoDB MCP. Built for the Google Cloud Rapid Agent Hackathon.