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Databento

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Databento connector for market metadata, symbology, and historical time-series retrieval.

What is Databento?

Databento integration for historical and reference market data workflows, including dataset discovery, symbol lookup, symbology resolution, and ranged time-series pulls.

Available Tools

  • listDatasets
    List available Databento datasets (metadata.list_datasets).
  • listSymbols
    List symbols for a dataset (metadata.list_symbols).
  • getRange
    Fetch historical range data (timeseries.get_range).
  • resolveSymbology
    Resolve symbol mappings (symbology.resolve).
  • queryDatabento
    Generic Databento method/endpoint request helper.

Requirements

  • Databento API key
    Active API key from your Databento account.
  • Dataset entitlements
    Endpoint access depends on account permissions and subscriptions.
  • Compatible AI agent
    Works with Claude, ChatGPT, and other MCP-compatible agents.

Quick Setup Guide

Follow these steps to connect your AI agents to this connector

Sign up for PatchOps to access MCP server management.

Store your Databento API key in PatchOps credentials.

Add the Databento MCP server URL to your AI agent configuration.

Discover datasets and symbols, then use getRange or queryDatabento.

Connect to Your AI Assistant

Choose your AI assistant below for specific setup instructions

Follow these steps to connect Databento to Claude:

Step 1: Open Claude Settings

Launch Claude → Click the profile button (bottom left) → Navigate to Settings

Step 2: Access Connectors

Scroll down to the Connectors tab → Navigate to the bottom → Click “Add Custom Connector”

Step 3: Name Your Connector

Enter any name you'd like for this connector

Step 4: Get the Connector URL

Log in to PatchOps → Navigate to the /mcp page → Copy the connector URL you want to use

Step 5: Add the Connector

Paste the URL in the “Remote MCP Server URL” text box → Click Add

Step 6: Start Using

Your connector is now ready to use in Claude

Follow these steps to connect Databento to ChatGPT:

Step 1: Enable Developer Mode

Go to Settings → Connectors → Advanced → Enable Developer mode

Step 2: Create New Connector

Go back to Connectors page → Click “Create” (top right)

Step 3: Name Your Connector

Enter any name you'd like for this connector (descriptions are optional)

Step 4: Get the Connector URL

Log in to PatchOps → Navigate to the /mcp page → Copy the connector URL you want to use

Step 5: Add the URL

Paste the URL in the “MCP Server URL” text box

Step 6: Set Authentication

Click the authentication dropdown → Select “No authentication” (PatchOps handles authentication internally)

Step 7: Create the Connector

Click “I understand and want to continue” checkbox → Press Create

Step 8: Using the Connector

Start a new chat → Click the + button (left of text box) → Open dropdown → Hover over three dots labeled “More” → Select your connector

Instructions for connecting Databento to GitHub Copilot:

Coming Soon

Detailed setup instructions for GitHub Copilot will be added here.

For other MCP-compatible platforms:

Step 1: Get the Connector URL

Log in to PatchOps → Navigate to the /mcp page → Copy the connector URL you want to use

Step 2: Add to Configuration

Add this configuration to your MCP settings file. Replace the URL with your specific connector URL from the /mcp page:

"Databento-MCP": {
  "url": "https://patchops.ai/api/mcp/...",
  "type": "http"
}

Example Configuration

Here’s an example using PatchOps MCP:

"PatchOps-MCP": {
  "url": "https://patchops.ai/api/mcp/...",
  "type": "http"
}