Databar.ai | MCP Server

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Databar.ai's data enrichment API. Discover, configure, and run data enrichments across hundreds of data…

Local serverstdioMIT

What is the Databar.ai | MCP Server?

Databar.ai | MCP Server is an MCP project maintained in the databar-ai/databar-mcp-server repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Databar.ai's data enrichment API. Discover, configure, and run data enrichments…”. Read the project documentation for the complete scope.

Local setup

The project provides a local client configuration using node. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.

Configuration values

The example declares DATABAR_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
search_enrichments	Search enrichments by keyword or category
get_enrichment_details	Get parameters, pricing, and response fields for an enrichment
run_enrichment	Run a single enrichment (with auto-polling and caching)
run_bulk_enrichment	Run an enrichment on multiple inputs at once
search_waterfalls	Search available waterfall enrichments
run_waterfall	Run a waterfall (tries providers sequentially)
run_bulk_waterfall	Run a waterfall on multiple inputs at once
create_table	Create a new empty table
list_tables	List all tables in your workspace
get_table_columns	Get column schema for a table
get_table_rows	Get rows with pagination
get_table_enrichments	List enrichments configured on a table
add_table_enrichment	Add an enrichment to a table with column mapping
run_table_enrichment	Trigger an enrichment on all rows in a table
create_rows	Insert up to 50 rows with deduplication options
patch_rows	Update fields on existing rows by ID
upsert_rows	Insert or update rows based on a matching key
get_user_balance	Get credit balance and account info

How to install the Databar.ai | MCP Server

{
  "mcpServers": {
    "databar": {
      "command": "node",
      "args": [
        "/absolute/path/to/databar-mcp-server/dist/index.js"
      ],
      "env": {
        "DATABAR_API_KEY": "YOUR_DATABAR_API_KEY"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.