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Installation

pip install databento-mcp

Quick Start

  1. Get your API key from Databento

  2. Configure your MCP client (see setup guides below)

  3. Start querying market data through your AI assistant

Setup Guides

Claude Desktop

Add to your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "databento": { "command": "databento-mcp", "env": { "DATABENTO_API_KEY": "your-api-key" } } } }

GitHub Copilot CLI

Add the server to your Copilot CLI configuration:

gh copilot config set mcp-servers '{ "databento": { "command": "databento-mcp", "env": { "DATABENTO_API_KEY": "your-api-key" } } }'

Or add to your ~/.config/gh-copilot/config.yml:

mcp-servers: databento: command: databento-mcp env: DATABENTO_API_KEY: your-api-key

See GitHub Copilot CLI MCP documentation for more details.

ChatGPT (via Developer Mode)

ChatGPT supports MCP servers through Developer Mode.

  1. Enable Developer Mode in ChatGPT settings

  2. Add an MCP server with the following configuration:

{ "name": "databento", "command": "databento-mcp", "env": { "DATABENTO_API_KEY": "your-api-key" } }

See OpenAI Developer Mode documentation for detailed setup instructions.

Features

Historical Data

  • Retrieve trades, OHLCV bars, market depth, and more

  • Support for all Databento schemas (trades, mbp-1, mbp-10, ohlcv-*, etc.)

  • Cost estimation before query execution

  • Smart data summaries with statistics

Live Data

  • Real-time market data streaming

  • Configurable stream duration

  • Multiple schema support

File Operations

  • Read/write DBN format files

  • Export to Apache Parquet

  • Convert between formats

Batch Processing

  • Submit large-scale batch jobs

  • Monitor job status

  • Download completed files

Reference Data

  • Symbol metadata and definitions

  • Symbology resolution

  • Dataset discovery

  • Publisher information

Quality & Performance

  • Smart caching with configurable TTL

  • Data quality analysis

  • Connection pooling

  • Comprehensive metrics

Available Tools

Tool

Description

health_check

Check API connectivity and server status

get_historical_data

Retrieve historical market data

get_live_data

Stream real-time market data

get_cost

Estimate query cost before execution

get_symbol_metadata

Get instrument definitions and mappings

search_instruments

Search for symbols with wildcards

list_datasets

List available Databento datasets

list_schemas

List available data schemas

resolve_symbols

Convert between symbology types

submit_batch_job

Submit batch data download

list_batch_jobs

List batch job status

get_batch_job_files

Get batch job download info

cancel_batch_job

Cancel pending batch job

download_batch_files

Download completed batch files

read_dbn_file

Parse and read DBN files

get_dbn_metadata

Get DBN file metadata

write_dbn_file

Write data to DBN format

convert_dbn_to_parquet

Convert DBN to Parquet

export_to_parquet

Query and export to Parquet

read_parquet_file

Read Parquet files

get_session_info

Get trading session info

list_publishers

List data publishers

list_fields

List schema fields

get_dataset_range

Get dataset date range

list_unit_prices

Get pricing information

analyze_data_quality

Analyze data quality issues

quick_analysis

Comprehensive symbol analysis

get_account_status

Server status and metrics

get_metrics

Performance metrics

clear_cache

Clear API response cache

Configuration

Environment Variable

Description

Default

DATABENTO_API_KEY

Databento API key (required)

-

DATABENTO_DATA_DIR

Restrict file operations to directory

Current directory

DATABENTO_LOG_LEVEL

Logging level (DEBUG, INFO, WARNING, ERROR)

INFO

DATABENTO_METRICS_ENABLED

Enable metrics collection

true

Common Datasets

Dataset

Description

GLBX.MDP3

CME Globex (ES, NQ, CL futures)

XNAS.ITCH

Nasdaq TotalView

XNYS.PILLAR

NYSE

DBEQ.BASIC

Consolidated US equities

OPRA.PILLAR

US options

IFEU.IMPACT

ICE Futures Europe

Common Schemas

Schema

Description

trades

Individual trades

ohlcv-1m

1-minute OHLCV bars

ohlcv-1h

1-hour OHLCV bars

ohlcv-1d

Daily OHLCV bars

mbp-1

Top of book

mbp-10

10-level order book

tbbo

Top bid/offer

definition

Instrument definitions

Development

# Clone repository git clone https://github.com/deepentropy/databento-mcp.git cd databento-mcp # Install with dev dependencies pip install -e ".[dev]" # Run tests pytest # Format code black src/ ruff check src/

License

MIT License

-
security - not tested
A
license - permissive license
-
quality - not tested

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