MCP Server (Beta)

The Databar MCP Server implements the Model Context Protocol (MCP), allowing AI assistants like Claude, Cursor, Codex, Gemini CLI, and others to interact with Databar’s API using natural language. Instead of writing API calls manually, you can say “find the email for John Smith at Google” and your AI assistant will automatically discover the right enrichment, run it, and return the results.

Use the hosted MCP server (https://mcp.databar.ai/mcp). We ship new tools, fixes, and API alignment there first, so your client always talks to the current implementation without installing or upgrading anything locally.

Quick start

The MCP server URL for all clients:

https://mcp.databar.ai/mcp

Claude (recommended)
Cursor
Local install (advanced)

The fastest way to connect Claude is through the built-in Connectors UI. This uses OAuth so you never need to copy an API key.

Open Claude (web or desktop) and go to Settings > Connectors.
Scroll to the bottom and click Add custom connector.
Set Name to Databar and Remote MCP Server URL to https://mcp.databar.ai/mcp. Leave Advanced settings blank.

Click Add. Claude will redirect you to Databar to authenticate.
Click Authorize, then you will be redirected back to Claude.

Try it: “What can the Databar MCP do?”

Alternative: JSON config with API key

If you prefer to authenticate with an API key instead of OAuth, add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "databar": {
      "type": "http",
      "url": "https://mcp.databar.ai/mcp",
      "headers": {
        "Authorization": "Bearer your-api-key-here"
      }
    }
  }
}

Restart Claude after saving.

Open .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally) and add:

{
  "mcpServers": {
    "databar": {
      "url": "https://mcp.databar.ai/mcp",
      "headers": {
        "Authorization": "Bearer your-api-key-here"
      }
    }
  }
}

To find your API key, log in to your Databar workspace and navigate to Integrations.Restart Cursor, then try: “What can the Databar MCP do?”The hosted server supports both Streamable HTTP (POST/GET/DELETE /mcp) for modern clients and Legacy SSE (GET /sse) for older clients.

The databar-mcp-server npm package often lags behind the hosted server. Prefer Hosted (recommended) unless you need a stdio-based setup (some clients only support spawning a local process), a custom DATABAR_BASE_URL, or environment tuning (see Configuration).

npm / npx

npm install -g databar-mcp-server

Or:

npx databar-mcp-server

Example Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "databar": {
      "command": "npx",
      "args": ["-y", "databar-mcp-server"],
      "env": {
        "DATABAR_API_KEY": "your-api-key-here"
      }
    }
  }
}

From source (contributors or pinning a specific commit):

git clone https://github.com/databar-ai/databar-mcp-server.git
cd databar-mcp-server
npm install && npm run build

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

What you can do

The hosted server exposes a large set of tools aligned with the public Databar REST API. The list below reflects the current surface area (tool names and behavior may expand as we deploy updates to the hosted endpoint):

Enrichments

Search, inspect, run enrichments — single or bulk. Remote param choices and pagination-aware runs.

Waterfalls

Search and run headless waterfalls; add table waterfalls and run them with enrichments.

Tables & columns

Create, rename, or delete tables; add, rename, or delete columns; configure enrichments and exporters on a table.

Rows & folders

Insert, patch, upsert, delete, and filter rows; create and manage folders; move tables between folders.

Exporters

Search exporters, inspect details, attach to tables, list configured exporters, and trigger runs.

Account

Check credit balance and spending-related guardrails (safe mode, per-request cost caps).

Available tools

Full list of all MCP tools with descriptions.

Configuration

Environment variables, safe mode, caching, and task expiry.

Example prompts

Here are some things you can ask your AI assistant once the MCP server is connected:

“Get me David Abaev’s LinkedIn profile”
“Verify the email david@databar.ai”
“Find the email for John Smith at Google using a waterfall”
“Enrich these 10 domains with company data”
“List my tables and show the columns for the first one”
“Create a table called Leads with columns name, email, company and add 5 empty rows”
“Get rows from my Leads table where company contains ‘tech’”
“How many credits do I have left?”

Hosted MCP

Recommended — always up to date

GitHub

Source, issues, and contributions

npm package

Local / stdio installs only — may lag hosted

Overview

Reference

Agent Skills

Quick start

What you can do

Enrichments

Waterfalls

Tables & columns

Rows & folders

Exporters

Account

Available tools

Configuration

Example prompts

Links

Hosted MCP

GitHub

npm package

Overview

Reference

Agent Skills

​Quick start

​What you can do

Enrichments

Waterfalls

Tables & columns

Rows & folders

Exporters

Account

Available tools

Configuration

​Example prompts

​Links

Hosted MCP

GitHub

npm package

Quick start

What you can do

Example prompts

Links