Provides persistent memory and semantic code understanding capabilities for AI assistants.
Exposes comprehensive MongoDB Atlas API functionality as Model Context Protocol tools.
Offers programmatic access to a MongoDB movie database, enabling efficient querying and analysis.
Provides comprehensive food hierarchy and nutrition data via a StreamableHTTP server with structured Pydantic output.
Provides structured food hierarchy and nutrition data through a production-ready Model Context Protocol (MCP) server, integrating StreamableHTTP transport with MongoDB Atlas for scalable data delivery.
Provides an AI assistant application integrating FastMCP, MongoDB Atlas, and an LLM endpoint with direct MCP tool calling capabilities.
Provides production-ready food hierarchy and nutrition data through a structured API using the Model Context Protocol.
Calculates approximate hardware requirements for dedicated search nodes on MongoDB Atlas, supporting both lexical and vector search use cases.
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