MongoDB
Tools to query and explore a MongoDB database
0.4.0
MongoDB provider: This toolkit enables discovery, schema sampling, and programmatic querying of MongoDB instances. It supports aggregation pipelines, filtered finds, and counts to extract and transform data.
Capabilities
- Discover databases and collections and infer schemas by sampling documents (required before collection queries).
- Execute complex aggregation pipelines for joins, grouping, projection, sorting, and limits.
- Perform targeted queries with projections, sorting, operators, and counting; results are returned as JSON strings ready for processing.
- Emphasize using indexes and explicit projections to optimize queries and avoid errors.
Secrets
- Type: password — typically a full MongoDB connection string. Example variable: MONGODB_CONNECTION_STRING. Store securely (env or secrets manager).
Available tools(6)
| Tool name | Description | Secrets | |
|---|---|---|---|
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.
Use the <get_collection_schema> tool to load the schema if 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
* $lookup - join with other collections
* And many more stages | 1 | ||
Count documents in a MongoDB collection matching the given filter. | 1 | ||
Discover all the collections in the MongoDB database when the list of collections is not known.
ALWAYS use this tool before any other tool that requires a collection name. | 1 | ||
Discover all the databases in the MongoDB instance. | 1 | ||
Find documents in a MongoDB collection.
ONLY use this tool if you have already loaded the schema of the collection you need to query.
Use the <get_collection_schema> tool to load the schema if not already known.
Returns a list of JSON strings, where each string represents a document from the collection (tools cannot return complex types).
When running queries, follow these rules which will help avoid errors:
* Always specify projection to limit fields returned if you don't need all data.
* Always sort your results by the most important fields first. If you aren't sure, sort by '_id'.
* Use appropriate MongoDB query operators for complex filtering ($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 using the <discover_collections> tool. | 1 |
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Requirements
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Mongodb.AggregateDocuments
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. Use the <get_collection_schema> tool to load the schema if 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 * $lookup - join with other collections * And many more stages
Parameters
| Parameter | Type | Req. | Description |
|---|---|---|---|
database_name | string | Required | The database name to query |
collection_name | string | Required | The collection name to query |
pipeline | array<string> | Required | MongoDB aggregation pipeline as a list of JSON strings, each representing a stage. Example: ['{"$match": {"status": "active"}}', '{"$group": {"_id": "$category", "count": {"$sum": 1}}}'] |
limit | integer | Optional | The maximum number of results to return from the aggregation. Default: 1000. |
Requirements
Output
array— No description provided.Mongodb.CountDocuments
Count documents in a MongoDB collection matching the given filter.
Parameters
| Parameter | Type | Req. | Description |
|---|---|---|---|
database_name | string | Required | The database name to query |
collection_name | string | Required | The collection name to query |
filter_dict | string | Optional | MongoDB filter/query as JSON string. Leave None for no filter (count all documents). Example: '{"status": "active"}' |
Requirements
Output
integer— No description provided.Mongodb.DiscoverCollections
Discover all the collections in the MongoDB database when the list of collections is not known. ALWAYS use this tool before any other tool that requires a collection name.
Parameters
| Parameter | Type | Req. | Description |
|---|---|---|---|
database_name | string | Required | The database name to discover collections in |
Requirements
Output
array— No description provided.Mongodb.DiscoverDatabases
Discover all the databases in the MongoDB instance.
Parameters
No parameters required.
Requirements
Output
array— No description provided.Mongodb.FindDocuments
Find documents in a MongoDB collection. ONLY use this tool if you have already loaded the schema of the collection you need to query. Use the <get_collection_schema> tool to load the schema if not already known. Returns a list of JSON strings, where each string represents a document from the collection (tools cannot return complex types). When running queries, follow these rules which will help avoid errors: * Always specify projection to limit fields returned if you don't need all data. * Always sort your results by the most important fields first. If you aren't sure, sort by '_id'. * Use appropriate MongoDB query operators for complex filtering ($gte, $lte, $in, $regex, etc.). * Be mindful of case sensitivity when querying string fields. * Use indexes when possible (typically on _id and commonly queried fields).
Parameters
| Parameter | Type | Req. | Description |
|---|---|---|---|
database_name | string | Required | The database name to query |
collection_name | string | Required | The collection name to query |
filter_dict | string | Optional | MongoDB filter/query as JSON string. Leave None for no filter (find all documents). Example: '{"status": "active", "age": {"$gte": 18}}' |
projection | string | Optional | Fields to include/exclude as JSON string. Use 1 to include, 0 to exclude. Example: '{"name": 1, "email": 1, "_id": 0}'. Leave None to include all fields. |
sort | array<string> | Optional | Sort criteria as list of JSON strings, each containing 'field' and 'direction' keys. Use 1 for ascending, -1 for descending. Example: ['{"field": "name", "direction": 1}', '{"field": "created_at", "direction": -1}'] |
limit | integer | Optional | The maximum number of documents to return. Default: 1000. |
skip | integer | Optional | The number of documents to skip. Default: 0. |
Requirements
Output
array— No description provided.Mongodb.GetCollectionSchema
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 using the <discover_collections> tool.
Parameters
| Parameter | Type | Req. | Description |
|---|---|---|---|
database_name | string | Required | The database name to get the collection schema of |
collection_name | string | Required | The collection to get the schema of |
sample_size | integer | Optional | The number of documents to sample for schema discovery (default: 1000) |
Requirements
Output
json— No description provided.