@mongodb

mongodb-natural-language-querying translates natural language into read-only mongodb queries and aggregation pipelines by fetching collection schema, indexes, and sample documents, then validating fields and choosing appropriate query types.

mongodb-mcp-setup guides users through configuring the mongodb mcp server with three authentication options: connection string, atlas admin api credentials, or x.509 certificates. covers environment variable setup and method selection.

mongodb-schema-design provides reference material for mongodb data modeling patterns and anti-patterns across common scenarios like relational migration and performance troubleshooting, but lacks concrete actionable steps and decision trees.

atlas-stream-processing covers mongodb atlas stream pipelines via four mcp tools. prerequisites and tool selection provided, but procedural steps for actual workflow operations remain incomplete and lack concrete examples.

mongodb-search-and-ai provides guidance on implementing atlas search (lexical, semantic, hybrid) with emphasis on discovery before execution and schema validation. incomplete procedural details and missing failure handling.

Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing…

Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I…