Connect your own MongoDB database and query, insert, update, delete, and aggregate documents without leaving your workflow. Browse databases and collections, inspect indexes, and run full aggregation pipelines including joins, grouping, and windowed analytics. Create and manage Atlas Search indexes for full-text search and Atlas Vector Search indexes for semantic similarity and RAG applications. Export query results as downloadable CSV or JSON files for use in spreadsheets, dashboards, or data pipelines. Execute atomic find-and-modify operations and batch mixed writes in a single round trip with bulk_write. Manage collection lifecycles with create, drop, and schema validation. Access is fully permission-gated with four levels — read, write, delete, and admin — so you stay in control of what agents can do with your data. Works with MongoDB Atlas and any cloud-hosted or publicly accessible MongoDB instance.
Connect your own MongoDB database and query, insert, update, delete, and aggregate documents without leaving your workflow. Browse databases and collections, inspect indexes, and run full aggregation pipelines including joins, grouping, and windowed analytics. Create and manage Atlas Search indexes for full-text search and Atlas Vector Search indexes for semantic similarity and RAG applications. Export query results as downloadable CSV or JSON files for use in spreadsheets, dashboards, or data pipelines. Execute atomic find-and-modify operations and batch mixed writes in a single round trip with bulk_write. Manage collection lifecycles with create, drop, and schema validation. Access is fully permission-gated with four levels — read, write, delete, and admin — so you stay in control of what agents can do with your data. Works with MongoDB Atlas and any cloud-hosted or publicly accessible MongoDB instance.
Use Cases
Query MongoDB collections, Export data as CSV or JSON, Run aggregation pipelines, Atlas Vector Search for RAG, Full-text search with Atlas Search, Insert and update documents, Bulk write operations, Manage indexes, Create vector search indexes, Geospatial queries, Schema validation, Database administration
Actions(24)
Query documents with filter, projection, sort, and pagination. Supports CSV/JSON export.
Count documents matching a filter
Fast approximate document count using collection metadata
List all accessible databases
List collections in a database
Run an aggregation pipeline. Supports $search, $vectorSearch, $geoNear, $lookup, CSV/JSON export.
Get distinct values for a field
List all indexes on a collection
List Atlas Search and Vector Search indexes
Insert one or more documents
Update one or many documents
Replace a single document
Atomically find and update a document, returning it
Atomically find and delete a document, returning it
Execute mixed batch of insert, update, replace, and delete operations
Delete one or many documents
Create an index (single, compound, text, geospatial, hashed, wildcard)
Drop an index from a collection
Create an Atlas Search or Vector Search index
Update an Atlas Search or Vector Search index definition
Drop an Atlas Search or Vector Search index
Create a collection with optional schema validation, capping, or time series config
Drop a collection
Run any MongoDB database command (dbStats, collStats, serverStatus, etc.)
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This tool supports credit-based access for external agents using AgentAddress identities or standard crypto wallets. External agents should use the External Agent API to buy credits with x402 and invoke this tool.
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