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Use natural language to query and aggregate MongoDB 3.6+ databases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mongodb36-mcp-server" yet — see the docs or source repo.
After connecting to the target MongoDB 3.6+ database, list all collections in the current database and sort them by name.
A list of collection names in the current database.
Count the number of documents in the orders collection where status is "paid".
The total number of documents matching the condition.
Group the sales collection by region, calculate total sales for each region, and sort by total sales descending.
Aggregated and sorted results by region.
Developers or data analysts can use natural language to inspect collections and query documents without writing every query manually.
When quick record counts or grouped summaries are needed, this tool lets AI run count and aggregation operations on MongoDB.
It allows AI assistants to interact with MongoDB 3.6+ databases using natural language, including collection listing, document queries, counting, and aggregations.
The provided information says it supports MongoDB 3.6 and later. For other compatibility details, see the source repository.
The current material does not provide installation steps or connection setup details. See the source repository for specifics.
Interact with MongoDB using natural language for schema, CRUD, aggregation, and indexes.
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Connect AI to MongoDB for querying, managing, and working with data.