{"id":"ce96574b-9fcc-4ea5-91f7-5fc726a79e2c","slug":"mongodb-foundry-agent","kind":"mcp","name":"mongodb-foundry-agent","summary":"A foundry agent which uses MongoDB MCP Server as tool to perform vector search against user queries","owner":"vpriyanshi","repoUrl":"https://github.com/vpriyanshi/mongodb-foundry-agent","license":"MIT","licenseTier":"permissive","trust":"community","stars":2,"match":null,"fewStars":true,"format":"mcp","createdAt":"2026-02-25T05:31:57.000Z","addedAt":"2026-10-21T20:38:09.278Z","logoUrl":"https://avatars.githubusercontent.com/u/108661368?u=4e21c4e37c479514881e5e122fda29bf46e94e29&v=4","linkOnly":false,"collection":null,"skillPath":null,"categories":["databases","search","cloud-infra"],"tags":[],"runtime":"binary","local":true,"cloudCapable":false,"cloudCapability":"unknown","cloudReadyOnPlatform":false,"needsApiKey":false,"reviewed":false,"syncedAt":"2026-10-22T22:10:03.834Z","sample":false,"url":"https://conduits.dev/tools/mongodb-foundry-agent","language":"","transports":["stdio"],"install":{},"requirements":{"env":[],"upstreamMayCharge":false},"tools":null,"readme":"# MongoDB & Foundry Samples\n\nA collection of deployable code samples demonstrating how to build intelligent agents with **MongoDB Atlas** and **Azure AI Foundry**.\n\n## Samples\n\n| Sample | Description | Key Technologies |\n|--------|-------------|------------------|\n| [**Simple RAG on Movies**](./samples/simple-rag-movies/) | Semantic search over MongoDB movie data using vector embeddings and MCP | Azure AI Foundry, MongoDB Atlas Vector Search, Azure Functions, MCP |\n| [**Multimodal Product Search**](./samples/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 |\n| [**Voice Customer Support**](./samples/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 |\n| [**Insurance Claim Agent**](./samples/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 |\n\n## Common Prerequisites\n\n- [Azure Subscription](https://azure.microsoft.com/free/)\n- [Azure AI Foundry Project](https://ai.azure.com)\n- [MongoDB Atlas Account](https://www.mongodb.com/cloud/atlas)\n- [Azure CLI](https://docs.microsoft.com/cli/azure/install-azure-cli)\n\n## Getting Started\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/vpriyanshi/mongodb-foundry-agent.git\n   cd mongodb-foundry-agent\n   ```\n\n2. Navigate to a sample folder and follow its README:\n   ```bash\n   cd samples/simple-rag-movies\n   ```\n\n## Repository Structure\n\n```\nmongodb-foundry-agent/\n├── README.md                          # This file — sample catalog\n├── LICENSE\n├── CONTRIBUTING.md\n├── SECURITY.md\n├── .gitignore\n└── samples/\n    ├── simple-rag-movies/             # Semantic search agent over movies\n    │   ├── README.md                  # Full setup & deployment guide\n    │   ├── src/                       # Source code (Azure Function)\n    │   ├── deploy/                    # Bicep & ARM templates\n    │   ├── docs/                      # Architecture, agent instructions, OpenAPI spec\n    │   ├── scripts/                   # Deployment scripts (Bash & PowerShell)\n    │   └── sample-queries.md          # Example queries to test the agent\n    └── multimodal-product-search/     # Visual product search with images\n        ├── README.md                  # Full setup & deployment guide\n        ├── src/                       # Embedding function + data loader\n        ├── deploy/                    # Bicep & ARM templates\n        ├── docs/                      # Agent instructions, OpenAPI spec\n        ├── scripts/                   # Deployment scripts (Bash & PowerShell)\n        └── sample-queries.md          # Example queries to test the agent\n    └── voice-customer-support/        # Voice logistics support agent\n        ├── README.md                  # Full setup & deployment guide\n        ├── src/                       # Embedding func, ticket func, voice UI, data loader\n        ├── deploy/                    # Bicep & ARM templates\n        ├── docs/                      # Agent instructions, OpenAPI specs\n        ├── scripts/                   # Deployment scripts (Bash & PowerShell)\n        └── sample-conversations.md    # Example voice conversations\n    └── insurance-claim-agent/         # Multi-agent insurance claim processing\n        ├── README.md                  # Full setup & deployment guide\n        ├── src/                       # Image analysis func, embedding func, data loader\n        ├── deploy/                    # Bicep & ARM templates\n        ├── docs/                      # Two agent instructions, OpenAPI specs\n        ├── scripts/                   # Deployment scripts (Bash & PowerShell)\n        └── sample-scenarios.md        # Example claim scenarios\n```\n\n## Contributing\n\nContributions are welcome! Please read our [Contributing Guide](CONTRIBUTING.md) for details on adding new samples or improving existing ones.\n\n## License\n\nThis project is licensed under the MIT License — see the [LICENSE](LICENSE) file for details.\n\n## Resources\n\n- [Azure AI Foundry Documentation](https://learn.microsoft.com/azure/ai-studio/)\n- [MongoDB Atlas Vector Search](https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-overview/)\n- [MCP (Model Context Protocol)](https://modelcontextprotocol.io/)\n- [Azure Functions Python Guide](https://learn.microsoft.com/azure/azure-functions/functions-reference-python)\n"}