MongoDB Atlas
Manage MongoDB Atlas and query your data directly through Claude. Connect to any MongoDB cluster or Atlas project to run queries and aggregations, inspect schemas and indexes, and read/write documents - all through natural language. Key features: * Query and manage data - Run finds, aggregations, and counts; insert, update, or delete documents; create collections and indexes. * Manage Atlas infrastructure - Create and upgrade clusters, manage database users and IP access lists, and inspect cluster metadata across your projects and organizations. * Optimize performance - Get index suggestions, schema recommendations, and slow query analysis from the Atlas Performance Advisor. * Build streaming pipelines - Create, monitor, and manage Atlas Stream Processing workspaces, connections, and processors. * Search MongoDB knowledge - Query official MongoDB documentation and expert guidance directly from the assistant knowledge base.
View in the Claude registry- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Databases & Backend Data Stores
- Secondary Subcategories
- CI/CD & Internal Developer PlatformsCloud DevOps & Observability
- Brand
- MongoDB
- Access
- Account required
- First tracked
- 2026-07-20
- Tool count
- 41
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedMongoDB Atlas in Databases & Backend Data Stores
#13of 14competitors
This is the score for the Integration’s Primary Category, Databases & Backend Data Stores. Claude found MongoDB Atlas in connector search, but did not show it in the connector picker or invoke it in the measured contested Runs. That is why the score is 0.
How this score is measuredWhat we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 0/100 - Diagnostic
Found
· 0.1/100 - Diagnostic
Positioned
· 0/100
Competing in Claude Databases & Backend Data Stores
View CategoryWhat does 0/100 mean?
0 is MongoDB Atlas's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found MongoDB Atlas in connector search, and Positioned shows where it appeared in the picker.
MongoDB Atlas is 10 points from Buried.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
41 tools agents can invoke
How do I improve a Verified connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are MongoDB Atlas alternatives on Claude?
As of 2026-08-14, MongoDB Atlas competes with Airtable, Microsoft Dataverse, Clarify, Process Street, Notion, Adobe Workfront, monday.com, HubSpot, Supabase, Zoho CRM, Attio, PlanetScale, TaskLite in Claude Databases & Backend Data Stores, ranked by public Discoverability Score.
Where does MongoDB Atlas rank in Databases & Backend Data Stores on Claude?
As of 2026-08-14, MongoDB Atlas ranks #13 of 14 in Claude Databases & Backend Data Stores with a Discoverability Score of 0/100 (Invisible).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.