Mongodb Natural Language Querying
Skill Verified ActiveGenerate 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, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
Generate accurate and efficient MongoDB read-only queries and aggregation pipelines from natural language, saving users time and reducing query syntax errors.
Features
- Generate MongoDB find queries from natural language.
- Generate MongoDB aggregation pipelines from natural language.
- Leverage collection schema for field validation.
- Use sample documents to understand data patterns.
- Prioritize find queries over aggregation pipelines for simplicity.
Use Cases
- When a user asks to write, create, or generate MongoDB queries.
- When a user wants to filter, query, or aggregate data in MongoDB.
- When a user asks 'how do I query...' for MongoDB.
- Translating SQL-like requests to MongoDB syntax.
Non-Goals
- Handling Atlas Search ($search, $vectorSearch), fuzzy matching, autocomplete, or relevance scoring.
- Analyzing or optimizing existing MongoDB queries.
- Handling aggregation pipelines that involve write operations.
Installation
First, add the marketplace
/plugin marketplace add mongodb/agent-skills/plugin install agent-skills@mongodb-pluginsQuality Score
VerifiedTrust Signals
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