MongoDB

Data

Neotask gives you conversational control over MongoDB and Atlas — query collections, run aggregations, and manage your database infrastructure through OpenClaw.

What You Can Do

The MongoDB integration covers both your local databases and Atlas cloud infrastructure through eight tool groups:

  • Atlas Tools — manage your cloud clusters, projects, and Atlas-specific features
  • Local Atlas Tools — work with local Atlas deployments for development and testing
  • Database Tools — list databases, create and drop collections, manage indexes
  • CRUD Operations — insert, find, update, and delete documents across any collection
  • Query — run find queries with filters, projections, sorts, and limits
  • Aggregation — build and execute aggregation pipelines for complex data transformations
  • Schema — inspect collection schemas to understand document structures
  • Admin — database administration tasks like stats, compaction, and user management

    • Every action runs autonomously or requires your approval — you decide.

    Try Asking

  • "How many orders were placed in the last 24 hours?"
  • "Find all customers in the users collection who signed up this month and are on the pro plan"
  • "Run an aggregation to get total revenue by product category for Q1"
  • "What does the schema look like for the inventory collection?"
  • "Insert a new document into the events collection with these fields"
  • "Create an index on the email field in the users collection"
  • "Show me the top 10 most active users by login count this week"
  • "What Atlas clusters do we have running and what are their specs?"

    • Pro Tips

  • Use aggregation pipelines for reporting instead of pulling raw data — let the database do the heavy lifting.
  • Combine MongoDB with your API monitoring tool in an app group so agents can correlate slow queries with endpoint latency.
  • Schema inspection before queries prevents field name mismatches — ask for the schema first when working with unfamiliar collections.
  • Multi-agent teams can run queries across multiple databases simultaneously for cross-service data analysis.
  • Schedule nightly aggregation reports through automations to have business metrics ready every morning.

    • Works Well With