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Tools to query and explore a MongoDB database

Author:Arcade
Version:1.1.2
Auth:No authentication required
6tools
6require secrets

MongoDB Toolkit

The Arcade MongoDB toolkit connects agents to a MongoDB instance, enabling programmatic discovery, schema inference, and querying of databases and collections.

Capabilities

  • Discovery: Enumerate all databases in a MongoDB instance and all collections within a database before performing any operations.
  • Schema inference: Sample documents from any collection to infer field names and data types, a required step before querying schema-less collections.
  • Document retrieval & counting: Find documents using MongoDB query operators with projection and sorting, and count documents matching a filter.
  • Aggregation pipelines: Execute multi-stage pipelines ($match, $group, $project, $lookup, $sort, $limit, and more) for complex data processing and cross-collection joins.

Secrets

MONGODB_CONNECTION_STRING — The full MongoDB connection URI used to authenticate and connect to the database instance. It typically takes the form mongodb+srv://<username>:<password>@<host>/<database>?<options> (for Atlas) or mongodb://<username>:<password>@<host>:<port>/<database> (for self-hosted). Obtain it from your MongoDB provider:

  • MongoDB Atlas: In the Atlas UI, go to your cluster → Connect → Drivers, select your driver version, and copy the generated connection string. Replace the <password> placeholder with the actual database user password. The user must have at least read privileges on the target databases. See Atlas connection string docs for details.
  • Self-hosted MongoDB: Construct the URI manually using the host, port, credentials, and authentication database configured on your server. Ensure the user account has the appropriate roles (e.g., readAnyDatabase or a database-scoped read role).

Store this value as a secret in Arcade; see the Arcade secrets docs and the Arcade secrets dashboard.

Available tools(6)

6 of 6 tools
Operations
Behavior
Tool nameDescriptionSecrets
Execute a MongoDB aggregation pipeline on a collection. ONLY use this tool if you have already loaded the schema of the collection you need to query. Load the collection's schema first if it is not already known. Returns a list of JSON strings, where each string represents a result document from the aggregation (tools cannot return complex types). Aggregation pipelines allow for complex data processing including: * $match - filter documents * $group - group documents and perform calculations * $project - reshape documents * $sort - sort documents * $limit - limit results * $lookup - join with other collections * And many more stages
1
Count documents in a MongoDB collection matching the given filter.
1
Discover all the collections in the MongoDB database. Use when the list of collections is not known. ALWAYS use this tool before any other tool that requires a collection name.
1
Discover all the databases in the MongoDB instance.
1
Find documents in a MongoDB collection. ONLY use this tool if you have already loaded the schema of the collection you need to query. Load the collection's schema first if it is not already known. Returns a list of JSON strings, where each string represents a document from the collection (tools cannot return complex types). When running queries, follow these rules which will help avoid errors: * Always specify projection to limit fields returned if you don't need all data. * Always sort your results by the most relevant fields first. Use '_id' if you're unsure. * Use appropriate MongoDB query operators for complex filtering ($gte, $lte, $in, $regex, etc.). * Be mindful of case sensitivity when querying string fields. * Use indexes when possible (typically on _id and commonly queried fields).
1
Get the schema/structure of a MongoDB collection by sampling documents. Since MongoDB is schema-less, this tool samples a configurable number of documents to infer the schema structure and data types. This tool should ALWAYS be used before executing any query. All collections in the query must be discovered first by listing the database's collections.
1
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