MongoDB

by mcp-mirror

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About

Interact with MongoDB databases and MongoDB Atlas.

Details

Author
mcp-mirror
Downloads
207
Categories
Database, Other
Tags
#mongodb, #mongodb-atlas

- List, create, and inspect MongoDB Atlas organizations and projects.
- Manage Atlas clusters, IP access lists, and database users.
- Execute find, aggregate, insert, update, and delete operations.
- Control access with read-only mode and disabled tools.
- Configure telemetry, log path, and tool categories.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MongoDB
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via npx and configure with either a MongoDB connection string or Atlas API credentials. Set environment variables or pass command-line arguments. Then add the server to your MCP client’s configuration file (e.g., Windsurf, VSCode, Claude Desktop, Cursor).

aggregate-db

Run an aggregation against a MongoDB database

aggregate

Run an aggregation against a MongoDB collection

collection-indexes

Describe the indexes for a collection

collection-schema

Describe the schema for a collection

collection-storage-size

Gets the size of the collection

connect

Connect to a MongoDB instance and get back a connectionId to pass to the other MongoDB tools. Each call establishes a new, independent connection — multiple connections can be active at the same time.

count

Gets the number of documents in a MongoDB collection using db.collection.count() and query as an optional filter parameter

create-collection

Creates a new collection in a database. If the database doesn't exist, it will be created automatically.

create-index

Create an index for a collection

db-stats

Returns statistics that reflect the use state of a single database

delete-many

Removes all documents that match the filter from a MongoDB collection

disconnect

Close a MongoDB connection and revoke its connectionId.

drop-collection

Removes a collection or view from the database. The method also removes any indexes associated with the dropped collection.

drop-database

Removes the specified database, deleting the associated data files

drop-index

Drop an index for the provided database and collection.

explain

Returns statistics describing the execution of the winning plan chosen by the query optimizer for the evaluated method

export

Export a query or aggregation results in the specified EJSON format.

find

Run a find query against a MongoDB collection

insert-many

Insert an array of documents into a MongoDB collection. If the list of documents is above com.mongodb/maxRequestPayloadBytes, consider inserting them in batches.

list-collections

List all collections for a given database

list-connections

List the active MongoDB connections and their connectionIds. Use this to find a connectionId established earlier.

list-databases

List all databases for a MongoDB connection

mongodb-logs

Returns the most recent logged mongod events

rename-collection

Renames a collection in a MongoDB database

update-many

Updates all documents that match the specified filter for a collection. If the list of documents is above com.mongodb/maxRequestPayloadBytes, consider updating them in batches.

atlas-connect-cluster

Connect to MongoDB Atlas cluster and get back a connectionId to pass to the other MongoDB tools. Each call establishes a new, independent connection — multiple connections can be active at the same time.

atlas-create-access-list

Allow Ip/CIDR ranges to access your MongoDB Atlas clusters.

atlas-create-cluster

Create a MongoDB Atlas cluster (M10–M80, replica set or single shard, single or multi-region). Compute autoscaling is enabled by default: min instance size is set to the selected instance size, max is set two tiers above. Disk autoscaling is always enabled. For encryption at rest, the CMK provider must already have a valid configuration in the Atlas project. The tool returns immediately, use the atlas-inspect-cluster tool to poll the cluster state for readiness (state: IDLE). Connection strings are unavailable until the cluster reaches IDLE state. Note to LLM: Omit instance size unless specified by the user. If provider and regions are not already known, ask for both together in a single question before calling this tool. Common, non-exhaustive region default mappings by provider: AWS: "East Coast"/"Virginia"/"US East" → US_EAST_1, "Ohio" → US_EAST_2, "California"/"West Coast" → US_WEST_2, "Southeast Asia"/"APAC"/"Singapore" → AP_SOUTHEAST_1, "Europe"/"EU"/"Ireland" → EU_WEST_1. GCP: "Central US" → CENTRAL_US, "Western US" → WESTERN_US, "Southeast Asia"/"APAC" → SOUTHEASTERN_ASIA_PACIFIC, "Europe"/"EU" → WESTERN_EUROPE. AZURE: "East US" → US_EAST_2, "West US" → US_WEST_2, "Europe North" → EUROPE_NORTH, "Europe West" → EUROPE_WEST. Default recommendation: AWS US_EAST_1. User-specified regions not present in the mapping MUST be respected, rely on the tool to surface errors if a region is not supported.

atlas-create-db-user

Create an MongoDB Atlas database user

atlas-create-free-cluster

Create a free MongoDB Atlas cluster

atlas-create-project

Create a MongoDB Atlas project

atlas-get-performance-advisor

Get MongoDB Atlas performance advisor recommendations and suggestions, which includes the operations: suggested indexes, drop index suggestions, schema suggestions, and a sample of the most recent (max 50) slow query logs

atlas-inspect-access-list

Inspect Ip/CIDR ranges with access to your MongoDB Atlas clusters.

atlas-inspect-cluster

Inspect metadata of a MongoDB Atlas cluster

atlas-list-alerts

List triggered alerts for a MongoDB Atlas project. These are alerts Atlas has raised, not the alert configurations that define them. Defaults to OPEN alerts; set status to TRACKING or CLOSED to see others.

atlas-list-clusters

List MongoDB Atlas clusters

atlas-list-db-users

List MongoDB Atlas database users

atlas-list-orgs

List MongoDB Atlas organizations

atlas-list-projects

List MongoDB Atlas projects.

atlas-load-sample-dataset

Load a MongoDB sample dataset into an Atlas cluster, or check the status of a previously-initiated load. To start a new load, provide `clusterName` — the load runs asynchronously and the response includes a `jobId` and initial state. To check progress, call this tool again with `jobId` (sample dataset loads typically take 1–5 minutes). State can be WORKING, COMPLETED, or FAILED.

atlas-pause-resume-cluster

Pause or resume a dedicated (M10+) MongoDB Atlas cluster (Free and Flex clusters cannot be paused). Pause: paused clusters are unavailable for connections and do not incur compute costs. If the cluster being paused is the current active connection, it will be automatically disconnected. Returns an error if the cluster is already paused or not in a pausable state (must be IDLE). Resume: the cluster will not be immediately available after resuming. Use the atlas-inspect-cluster tool to poll the cluster state for readiness (state: IDLE). If the cluster is not paused, resuming it is a no-op.

atlas-streams-build

Create Atlas Stream Processing resources. Use this tool for 'set up a Kafka pipeline', 'create a workspace', 'add a connection', or 'deploy a processor'. Use resource='workspace' to create a new workspace (specify cloud provider, region, and tier). Use resource='connection' to add a data source or sink to an existing workspace. Use resource='processor' to deploy a stream processor with a pipeline. Use resource='privatelink' to set up private networking. Typical workflow: create workspace → add connections → deploy processor.

atlas-streams-discover

Discover and inspect Atlas Stream Processing resources. Also use for 'why is my processor failing', 'what workspaces do I have', 'show processor stats', or 'check processor health'. Use 'list-workspaces' to see all workspaces in a project. Use inspect actions for details on a specific resource. Use 'diagnose-processor' for a combined health report including state, stats, connection health, and recent errors. Use 'get-networking' for PrivateLink and account details.

atlas-streams-manage

Manage Atlas Stream Processing resources: start/stop processors, modify pipelines, update configurations. Also use for 'change the pipeline', 'scale up my processor', or 'update my workspace tier'. Common workflow: action='stop-processor' → action='modify-processor' → action='start-processor'. Use `atlas-streams-discover` with action 'inspect-processor' to check state before managing.

atlas-streams-teardown

Delete Atlas Stream Processing resources. Also use for 'remove my workspace', 'disconnect a source', 'delete all processors', or 'clean up my streams environment'. Performs basic safety checks before deletion: summarizes counts of processors and connections, highlights connections referenced by processors where possible, and surfaces API errors if processors are still running when deletion is attempted. Use `atlas-streams-discover` to review resources before deleting.

atlas-upgrade-cluster

Upgrade a MongoDB Atlas cluster tier. Upgrades Free (M0) clusters to Flex or M10 Dedicated, or Flex clusters to M10 Dedicated. The upgrade path is determined automatically from the current tier unless overridden with targetTier. Note to LLM: If provider and region are not already known, ask for both together in a single question before calling this tool. Common region mappings by provider (default recommendation: AWS US_EAST_1): AWS: "East Coast"/"Virginia"/"US East" → US_EAST_1, "Ohio" → US_EAST_2, "California"/"West Coast" → US_WEST_2, "Southeast Asia"/"APAC"/"Singapore" → AP_SOUTHEAST_1, "Europe"/"EU"/"Ireland" → EU_WEST_1. GCP: "Central US" → CENTRAL_US, "Western US" → WESTERN_US, "Southeast Asia"/"APAC" → SOUTHEASTERN_ASIA_PACIFIC, "Europe"/"EU" → WESTERN_EUROPE. AZURE: "East US" → US_EAST_2, "West US" → US_WEST_2, "Europe"/"EU" → EUROPE_NORTH.

list-knowledge-sources

List available data sources in the MongoDB Assistant knowledge base. Use this to explore available data sources or to find search filter parameters to use in search-knowledge.

search-knowledge

Search for information in the MongoDB Assistant knowledge base. This includes official documentation, curated expert guidance, and other resources provided by MongoDB. Supports filtering by data source and version.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mongodb": {
            "mongodb-js_mongodb-mcp-server": {
                "command": "npx",
                "args": [
                    "-y",
                    "mongodb-mcp-server",
                    "--apiClientId=your-atlas-service-accounts-client-id",
                    "--apiClientSecret=your-atlas-service-accounts-client-secret"
                ]
            }
        }
    }
}

McpServers

{
    "mongodb-js_mongodb-mcp-server": {
        "command": "npx",
        "args": [
            "-y",
            "mongodb-mcp-server",
            "--apiClientId=your-atlas-service-accounts-client-id",
            "--apiClientSecret=your-atlas-service-accounts-client-secret"
        ]
    }
}

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