mcp server

mongodb-foundry-agent

A foundry agent which uses MongoDB MCP Server as tool to perform vector search against user queries

vpriyanshi/mongodb-foundry-agentcommunitylistedunreviewed

Use tool

Set up

Runs on your computer. Pick your agent and operating system.

This project does not publish an install method we can turn into a config. Follow the README instead.

README

synced Oct 22, 2026

MongoDB & Foundry Samples

A collection of deployable code samples demonstrating how to build intelligent agents with MongoDB Atlas and Azure AI Foundry.

Samples

Sample	Description	Key Technologies
Simple RAG on Movies	Semantic search over MongoDB movie data using vector embeddings and MCP	Azure AI Foundry, MongoDB Atlas Vector Search, Azure Functions, MCP
Multimodal Product Search	Visual product search using text, images, or both with multimodal embeddings	Azure AI Foundry, MongoDB Atlas Vector Search, Voyage AI, Azure Functions, MCP
Voice Customer Support	Voice-enabled logistics support agent with order tracking, policy search, and ticket creation	Azure AI Foundry, GPT Realtime API, MongoDB Atlas, Azure Functions, MCP
Insurance Claim Agent	Multi-agent insurance claim filing and assessment with image analysis and policy search	Azure AI Foundry, GPT-4o, Voyage AI, MongoDB Atlas Vector Search, Azure Functions, MCP

Common Prerequisites

Getting Started

Clone this repository:

git clone https://github.com/vpriyanshi/mongodb-foundry-agent.git
cd mongodb-foundry-agent

Navigate to a sample folder and follow its README:
```
cd samples/simple-rag-movies
```

Repository Structure

mongodb-foundry-agent/
├── README.md                          # This file — sample catalog
├── LICENSE
├── CONTRIBUTING.md
├── SECURITY.md
├── .gitignore
└── samples/
    ├── simple-rag-movies/             # Semantic search agent over movies
    │   ├── README.md                  # Full setup & deployment guide
    │   ├── src/                       # Source code (Azure Function)
    │   ├── deploy/                    # Bicep & ARM templates
    │   ├── docs/                      # Architecture, agent instructions, OpenAPI spec
    │   ├── scripts/                   # Deployment scripts (Bash & PowerShell)
    │   └── sample-queries.md          # Example queries to test the agent
    └── multimodal-product-search/     # Visual product search with images
        ├── README.md                  # Full setup & deployment guide
        ├── src/                       # Embedding function + data loader
        ├── deploy/                    # Bicep & ARM templates
        ├── docs/                      # Agent instructions, OpenAPI spec
        ├── scripts/                   # Deployment scripts (Bash & PowerShell)
        └── sample-queries.md          # Example queries to test the agent
    └── voice-customer-support/        # Voice logistics support agent
        ├── README.md                  # Full setup & deployment guide
        ├── src/                       # Embedding func, ticket func, voice UI, data loader
        ├── deploy/                    # Bicep & ARM templates
        ├── docs/                      # Agent instructions, OpenAPI specs
        ├── scripts/                   # Deployment scripts (Bash & PowerShell)
        └── sample-conversations.md    # Example voice conversations
    └── insurance-claim-agent/         # Multi-agent insurance claim processing
        ├── README.md                  # Full setup & deployment guide
        ├── src/                       # Image analysis func, embedding func, data loader
        ├── deploy/                    # Bicep & ARM templates
        ├── docs/                      # Two agent instructions, OpenAPI specs
        ├── scripts/                   # Deployment scripts (Bash & PowerShell)
        └── sample-scenarios.md        # Example claim scenarios

Contributing

Contributions are welcome! Please read our Contributing Guide for details on adding new samples or improving existing ones.

License

This project is licensed under the MIT License — see the LICENSE file for details.