MongoDB MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with MongoDB MCP or direct API to explore clusters, query collections, manage indexes, and inspect performance metrics through natural language.

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S2s Oauth2

MongoDB MCP is MongoDB's managed interface for accessing Atlas resources and data. Use it for secure, centralized access to clusters, databases, and collections.

41 Tools

Try MongoDB MCP now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
MongoDB MCP
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TOOLS

Supported Tools

Every MongoDB MCP action and event your agent gets out of the box.

Aggregate

Run an aggregation against a MongoDB collection

Aggregate-db

Run an aggregation against a MongoDB database

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).

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.

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.

Atlas-pause-resume-cluster

Pause or resume a dedicated (M10+) MongoDB Atlas cluster (Free and Flex clusters cannot be paused).

Atlas-streams-build

Create Atlas Stream Processing resources.

Atlas-streams-discover

Discover and inspect Atlas Stream Processing resources.

Atlas-streams-manage

Manage Atlas Stream Processing resources: start/stop processors, modify pipelines, update configurations.

Atlas-streams-teardown

Delete Atlas Stream Processing resources.

Atlas-upgrade-cluster

Upgrade a MongoDB Atlas cluster tier.

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

Count

Gets the number of documents in a MongoDB collection using db.

Create-collection

Creates a new collection in a database.

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

Drop-collection

Removes a collection or view from the database.

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

Find

Run a find query against a MongoDB collection

Insert-many

Insert an array of documents into a MongoDB collection.

List-collections

List all collections for a given database

List-databases

List all databases for a MongoDB connection

Remote-atlas-connect

Connect to MongoDB Atlas cluster

Rename-collection

Renames a collection in a MongoDB database

Update-many

Updates all documents that match the specified filter for a collection.

SETUP GUIDE

Connect MongoDB MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for MongoDB MCP
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect MongoDB MCP API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute MongoDB MCP Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute MongoDB MCP actions with your Agent

Why Use Composio?

AI Native MongoDB MCP Integration

  • Supports both MongoDB MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your MongoDB MCP data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke MongoDB MCP access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access MongoDB MCP
  • Scoped, least privilege access to MongoDB MCP resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use MongoDB MCP with any AI Agent Framework

Choose a Framework you want to connect MongoDB MCP with

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, MongoDB MCP requires you to configure your own S2S OAuth2 credentials. Once set up, Composio handles token storage, refresh, and lifecycle management for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your MongoDB connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a MongoDB account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in MongoDB as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside MongoDB. If MongoDB lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside MongoDB at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each MongoDB connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal MongoDB use. Paid plans add higher limits and team features. Your MongoDB plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple MongoDB accounts).

With Composio, you connect MongoDB once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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