Process and analyze MongoDB data by running aggregation pipelines on collections, supporting stages for filtering, grouping, vector search, and text search.
Apache 2.0
306,640 tools. Last updated 2026-07-25 17:25
"How to extract and analyze data from a MongoDB database" matching MCP tools:
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- Create daemon apps from GitHub or Docker, and database services (PostgreSQL, Redis, MySQL, MongoDB) for Bult projects.MIT
- Establish a connection to a MongoDB cluster by providing a valid connection string in mongodb:// or mongodb+srv:// format.Apache 2.0
- List database users in a MongoDB Atlas project by providing the project ID. Returns user details such as username and roles.Apache 2.0
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- Extract and analyze foreign key relationships between tables in Cloudflare D1 databases to understand data connections and dependencies.MIT
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- Analyze PostgreSQL table relationships including foreign keys, dependencies, and inheritance to understand database schema design and plan data migrations.MIT
- Retrieve VACUUM and ANALYZE execution history, statistics, and table activity data to monitor PostgreSQL database maintenance status and performance.MIT
- List databases or tables/collections on remote servers for MySQL, PostgreSQL, and MongoDB without modifying data. Read-only operation for safe inspection.MIT
- Retrieve the full schema of specified database tables or collections, including columns, data types, keys, and indexes, to write precise SQL, DynamoDB, or MongoDB queries.MIT
- Retrieve random document samples from MongoDB collections for data exploration, testing, and analysis in JSON or CSV formats.MIT
- Restore a backup by backupId to a target server, overwriting existing data. Supports PostgreSQL, MongoDB, MySQL, and file backups with pre/post hooks.MIT
- Import a database dump file into a remote server database, replacing existing data. Supports MySQL, PostgreSQL, and MongoDB with automatic decompression of .gz files.MIT