Skip to main content

AWS DocumentDB MCP Server

An AWS Labs Model Context Protocol (MCP) server for AWS DocumentDB that enables AI assistants to interact with DocumentDB databases.

Overview

The DocumentDB MCP Server provides tools to connect to and query AWS DocumentDB databases. It serves as a bridge between AI assistants and AWS DocumentDB, allowing for safe and efficient database operations through the Model Context Protocol (MCP).

Features

  • Connection Management: Establish and maintain connections to DocumentDB clusters
  • Database Management: List databases and retrieve database statistics
  • Collection Management: List, create, drop collections and retrieve collection statistics
  • Document Operations: Query, insert, update, and delete documents
  • Aggregation Pipelines: Execute DocumentDB aggregation pipelines
  • Query Planning: Get explanations of how operations will be executed
  • Schema Analysis: Analyze collection schemas by sampling documents
  • Read-Only Mode: Optional security feature to restrict operations to read-only operations

Available Tools

The DocumentDB MCP Server provides the following tools:

Connection Management

  • connect: Connect to a DocumentDB cluster and get a connection ID
  • disconnect: Close an active connection

Database Management

  • listDatabases: List all available databases in the DocumentDB cluster
  • getDatabaseStats: Get statistics about a DocumentDB database

Collection Management

  • listCollections: List collections in a database
  • createCollection: Create a new collection in a database (blocked in read-only mode)
  • dropCollection: Drop a collection from a database (blocked in read-only mode)
  • getCollectionStats: Get statistics about a collection
  • countDocuments: Count documents in a collection
  • analyzeSchema: Analyze the schema of a collection by sampling documents and providing field coverage

Document Operations

  • find: Query documents from a collection
  • aggregate: Run aggregation pipelines (pipelines with $out or $merge stages are blocked in read-only mode)
  • insert: Insert documents (blocked in read-only mode)
  • update: Update documents (blocked in read-only mode)
  • delete: Delete documents (blocked in read-only mode)

Query Planning

  • explainOperation: Get an explanation of how an operation will be executed

Server Configuration

Starting the Server

# Basic usage
python -m awslabs.documentdb_mcp_server.server

# With custom port and host
python -m awslabs.documentdb_mcp_server.server --port 9000 --host 0.0.0.0

# With write operations enabled
python -m awslabs.documentdb_mcp_server.server --allow-write

Command Line Options

Option Description Default
--log-level Set logging level (TRACE, DEBUG, INFO, etc.) INFO
--connection-timeout Idle connection timeout in minutes 30
--allow-write Enable write operations (otherwise defaults to read-only mode) False

Read-Only Mode

By default, the server runs in read-only mode that only allows read operations. This enhances security by preventing any modifications to the database. In read-only mode:

  • Read operations (find, listCollections) work normally
  • Aggregation pipelines (aggregate) work normally, except pipelines containing $out or $merge stages are blocked
  • Write operations (insert, update, delete, createCollection, dropCollection) are blocked and return a permission error
  • Connection management operations (connect, disconnect) work normally

This mode is particularly useful for:

  • Demonstration environments
  • Security-sensitive applications
  • Integration with public-facing AI assistants
  • Protecting production databases from unintended modifications

Usage Examples

Basic Connection and Query (Read-Only Operations)

# Connect to a DocumentDB cluster
connection_result = await use_mcp_tool(
    server_name="awslabs.aws-documentdb-mcp-server",
    tool_name="connect",
    arguments={
        "connection_string": "mongodb://<username>:<password>@docdb-cluster.cluster-xyz.us-west-2.docdb.amazonaws.com:27017/?tls=true&tlsCAFile=global-bundle.pem"
    }
)
connection_id = connection_result["connection_id"]

# Query documents
query_result = await use_mcp_tool(
    server_name="awslabs.aws-documentdb-mcp-server",
    tool_name="find",
    arguments={
        "connection_id": connection_id,
        "database": "my_database",
        "collection": "users",
        "query": {"active": True},
        "limit": 5
    }
)

# Close the connection when done
await use_mcp_tool(
    server_name="awslabs.aws-documentdb-mcp-server",
    tool_name="disconnect",
    arguments={"connection_id": connection_id}
)

Enabling Write Operations

To enable write operations, start the server with the --allow-write flag:

python -m awslabs.documentdb_mcp_server.server --allow-write

When the server is running with write operations enabled:

# This operation will succeed
query_result = await use_mcp_tool(
    server_name="awslabs.aws-documentdb-mcp-server",
    tool_name="find",
    arguments={
        "connection_id": connection_id,
        "database": "my_database",
        "collection": "users",
        "query": {"active": True}
    }
)

# This operation will now succeed when --allow-write is used
insert_result = await use_mcp_tool(
    server_name="awslabs.aws-documentdb-mcp-server",
    tool_name="insert",
    arguments={
        "connection_id": connection_id,
        "database": "my_database",
        "collection": "users",
        "documents": {"name": "New User", "active": True}
    }
)

# Without the --allow-write flag, you would receive this error:
# ValueError: "Operation not permitted: Server is configured in read-only mode. Use --allow-write flag when starting the server to enable write operations."

Configure in your MCP client

Kiro Cursor VS Code
Add to Kiro Install MCP Server Install on VS Code

Configure the MCP server in your MCP client configuration (e.g., for Kiro, edit ~/.kiro/settings/mcp.json):

{
  "mcpServers": {
    "awslabs.documentdb-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.documentdb-mcp-server@latest",
      ],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Windows Installation

For Windows users, the MCP server configuration format is slightly different:

{
  "mcpServers": {
    "awslabs.documentdb-mcp-server": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "uv",
      "args": [
        "tool",
        "run",
        "--from",
        "awslabs.documentdb-mcp-server@latest",
        "awslabs.documentdb-mcp-server.exe"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Prerequisites

  • Network access to your DocumentDB cluster
  • SSL/TLS certificate if your cluster requires TLS (typically global-bundle.pem)

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

awslabs_documentdb_mcp_server-1.0.13.tar.gz (109.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

awslabs_documentdb_mcp_server-1.0.13-py3-none-any.whl (23.9 kB view details)

Uploaded Python 3

File details

Details for the file awslabs_documentdb_mcp_server-1.0.13.tar.gz.

File metadata

File hashes

Hashes for awslabs_documentdb_mcp_server-1.0.13.tar.gz
Algorithm Hash digest
SHA256 fa5406b1862d2cbe957a4eb90ccee681e7b3503af13fa154bcbd41f518927eef
MD5 f9fc30ca1a5494fbcd92b46faa64f086
BLAKE2b-256 991af3d78551f503ac80c6a1d9b8788769d977671f5007adfcd78f741e5a3cd8

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_documentdb_mcp_server-1.0.13.tar.gz:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file awslabs_documentdb_mcp_server-1.0.13-py3-none-any.whl.

File metadata

File hashes

Hashes for awslabs_documentdb_mcp_server-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 fa2bae005e9dc7fc7369eccb0e27f2cc2475005141cfdb32128ed9fcde57486a
MD5 b39c40e64d19b419e12e4a1cd9350ed4
BLAKE2b-256 eb76ac3a6738595245f32e72bf70b9a2ddf468b1dc1852fdc5b251026f3b90d1

See more details on using hashes here.

Provenance

The following attestation bundles were made for awslabs_documentdb_mcp_server-1.0.13-py3-none-any.whl:

Publisher: release.yml on awslabs/mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page