Databar.ai

npx add-mcp 'https://mcp.databar.ai/mcp'

MCP Server

Connect AI assistants like Claude to Databar's enrichment API

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.

[!NOTE]

Databar runs the MCP server for you at https://mcp.databar.ai/mcp, 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

[tab] Claude (recommended)

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

1. Open Connectors

Open Claude (web or desktop) and go to Settings > Connectors. Scroll to the bottom and click Add custom connector.

2. Enter the server details

• Name: Databar
• Remote MCP Server URL: https://mcp.databar.ai/mcp
• Leave Advanced settings blank.
• Click Add.

3. Authorize

Claude will redirect you to Databar to authenticate. Click Authorize to grant access to your workspace, then you will be redirected back to Claude.

4. Try it

Ask Claude: "What can the Databar MCP do?"

[accordion] 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.

[tab] Cursor

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.

[tab] stdio-only clients

Some clients can only spawn a local process. Bridge them to the hosted server with mcp-remote:

{
  "mcpServers": {
    "databar": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.databar.ai/mcp"]
    }
  }
}

The first start opens a browser window to authorize your workspace. To use an API key instead, pass it as a header:

{
  "mcpServers": {
    "databar": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.databar.ai/mcp", "--header", "Authorization:${AUTH_HEADER}"],
      "env": {
        "AUTH_HEADER": "Bearer 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):

[card] Enrichments

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

[card] Waterfalls

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

[card] Tables & columns

Create, rename, duplicate, clear, export, or dedupe tables; add, rename, reorder, or delete columns; configure enrichments and exporters on a table.

[card] Workbooks & trash

List and edit multi-sheet workbooks, move sheets between them, and restore or purge Trash.

[card] Rows & folders

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

[card] Exporters

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

[card] Account

Check credit balance. Paid runs check the balance first and ask for confirmation at 50 credits or more.

[card] Available tools

Full list of all MCP tools with descriptions.

[card] Configuration

Authentication, spending guardrails, 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?"

Links

[card] Hosted MCP

Always up to date

[card] Agent Skills

Workflow skills for your agent

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