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mongodb-schema-design
Cursor Skill
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unb
Connect to MongoDB Atlas clusters only through the Atlas Managed MCP Server. Sign in with your Atlas account to explore data, manage collections, optimize queries, generate reliable code with MongoDB best practices, and manage Atlas resources such as clusters, projects, database users, and network access. If you are running a different MongoDB deployment or want to run a local MongoDB MCP Server, install the MongoDB (Self-Managed MCP) plugin instead.
Skills7
mongodb-atlas-stream-processingManages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data wor
mongodb-connectionOptimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools,
mongodb-natural-language-queryingGenerate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, as
mongodb-qe-size-estimationEstimates the storage and memory impact of encrypting fields in collections with Queryable Encryption (QE) enabled. Do NOT use for collections that use Client-Side Field Level Encryption (CSFLE) instead of QE.
mongodb-query-optimizerHelp 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 index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do
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