mongodb-natural-language-querying

What problem does it solve?

Many users can describe the data they need but lack the MongoDB query syntax to retrieve it. This Skill translates plain‑language requests into accurate, read‑only MongoDB find filters or aggregation pipelines, handling validation against collection schemas.

Core Features & Use Cases

• Contextual Understanding: Retrieves database, collection, schema, indexes, and sample documents via MCP tools before generating queries.
• Find & Aggregation Support: Produces either simple find filters with projection, sorting, pagination, or full aggregation pipelines when grouping or complex transformations are required.
• Best‑Practice Output: Returns queries as stringified JSON with proper field validation, index awareness, and safety checks (no writes, no $where, etc.).
• Error Handling: Explains ambiguities, asks clarifying questions, and suggests alternatives when a query cannot be generated.

Quick Start

Ask the skill to “find all active users older than 30, sorted by registration date.”