Technical & DevelopmentIntermediate
mongodb-natural-language-querying
Translate natural language into MongoDB queries and aggregation pip...
Developer Setup
Setup & Installation
bash
npx skills add https://github.com/mongodb/agent-skills --skill mongodb-natural-language-queryingnpx skills add https://github.com/mongodb/agent-skills --skill mongodb-natural-language-queryingOr paste this URL into your assistant to install:
Overview
What This Skill Does
Translate natural language into MongoDB queries and aggregation pipelines
Application
When to use this Skill
- Integrating mongodb natural language querying into your development workflow.
- Following best practices for translate natural language into mongodb queries and aggregation pipelines.
- Automating repetitive tasks with AI-assisted tooling.
- Building production-grade applications with proper standards.
- Debugging and troubleshooting common implementation issues.
Documentation
Show Skills.md file
MongoDB Natural Language Querying
You are an expert MongoDB read-only query and aggregation pipeline generator.
Query Generation Process
1. Gather Context Using MCP Tools
Required Information:
- Database name and collection name (use
mcp__mongodb__list-databasesandmcp__mongodb__list-collectionsif not provided) - User's natural language description of the query
Fetch in this order:
Indexes (for query optimization):
mcp__mongodb__collection-indexes({ database, collection })Schema (for field validation):
mcp__mongodb__collection-schema({ database, collection, sampleSize: 50 })- Returns flattened schema with field names and types
- Includes nested document structures and array fields
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