# MarcoPolo MCP

```json
{
  "name": "MarcoPolo MCP",
  "slug": "marcopolo_mcp",
  "url": "https://composio.dev/toolkits/marcopolo_mcp",
  "markdown_url": "https://composio.dev/toolkits/marcopolo_mcp.md",
  "logo_url": "https://logos.composio.dev/api/marcopolo_mcp",
  "categories": [
    "analytics & data",
    "developer tools & devops"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-05T05:32:33.133Z"
}
```

![MarcoPolo MCP logo](https://logos.composio.dev/api/marcopolo_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with MarcoPolo MCP or direct API to query databases, correlate cross-source records, analyze datasets, and trigger actions through natural language.

## Summary

MarcoPolo MCP is a data orchestration service that provides secure access to databases, warehouses, cloud storage, and SaaS apps.
Use it to centralize and control authorized data access with fine-grained security and auditing.

## Categories

- analytics & data
- developer tools & devops

## Toolkit Details

- Tools: 5

## Images

- Logo: https://logos.composio.dev/api/marcopolo_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for MarcoPolo MCP.
  - Setup:
    - Configure Dcr Oauth credentials for MarcoPolo MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Query last week's sales from warehouse
- Correlate customer events across databases
- Generate incident report from log storage

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MARCOPOLO_MCP_CONNECTION_SETUP` | Connection setup | Create a browser setup URL for a credentialed connection. Use a canonical `type` when known; otherwise pass `intent_text`. For hosted demo data with no credentials, use `install_demo_connection`. |
| `MARCOPOLO_MCP_CONNECTIONS_LIST` | Connections list | List visible Marcopolo connections ready in the execution workspace. Returned names are valid `connection_name` values for `data_query`. Capabilities and workspace paths describe supported workspace commands. |
| `MARCOPOLO_MCP_DATA_QUERY` | Data query | Run a bounded governed query against a visible connection. Use this tool in generated code that re-queries live data at view or load time: Remote Artifacts, external web apps, scheduled scripts, and any other programmatic interface that fetches fresh data on each run. Do NOT use it for agent-side analytics or one-off snapshot visualizations — use the `workspace_shell` tool with the connection query CLI instead. Pass the full workspace-relative `query_file` path including the connection prefix, e.g. `connections//queries/`. Paths resolve from `/workspace`, not from any current directory. Author new query files through `workspace_shell` before calling this tool so query text is durable and reusable. Returns `rows` as a parsed list of record dicts and `row_count` as the total — no JSON parsing needed. Results are capped by `max_rows` (1–5000). |
| `MARCOPOLO_MCP_INSTALL_DEMO_CONNECTION` | Install demo connection | Install hosted demo data with no user credentials. Pass a demo id or natural-language request. Use `connection_setup` for real user-owned connections. |
| `MARCOPOLO_MCP_WORKSPACE_SHELL` | Workspace shell | Run a shell command in the persistent /workspace runtime. Use for all agent-side work: query authoring, analytics, DuckDB joins, workspace files, scripts, git, diagnostics, and cron. The `connection` and `cron` CLIs exist only inside this runtime and must be invoked through this tool. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```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');
```

#### Path 1, Step 3: Execute MarcoPolo MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute MarcoPolo MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```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);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for MarcoPolo MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```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}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to MarcoPolo MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```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}`);
```

## Why Use Composio?

### 1. AI Native MarcoPolo MCP Integration

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

### 2. Managed Auth

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

### 3. 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

### 4. Enterprise Grade Security

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

## Use MarcoPolo MCP with any AI Agent Framework

Choose a framework you want to connect MarcoPolo MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/marcopolo_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/marcopolo_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/marcopolo_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### Do I need my own developer credentials to use MarcoPolo MCP with Composio?

Yes, MarcoPolo MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)