Databar.ai MCP Server已验证已精选

B2B data enrichment for AI agents. 100+ data providers behind one MCP server.

Databar gives your agent a single interface to over 100 B2B data providers: company and contact enrichment, email and phone waterfalls, LinkedIn profiles, technographics, funding data, SEO metrics, email verification, and prospect search with ICP filters. Instead of wiring up and paying for a dozen vendor APIs, the agent searches the catalog at runtime, picks a provider, runs it, and writes the results into a persistent table.

What it does

• Search the provider catalog at runtime. The agent finds the right enrichment by keyword instead of hardcoding a vendor. Every provider exposes its parameters, response fields, and credit price before you run it.
• Waterfalls, not single lookups. Email and phone waterfalls try providers in sequence until one hits, with optional verification on the result. Far higher match rates than any single vendor.
• Prospect search. Search people and companies by ICP filters, find companies that are hiring, or filter by tech stack, and generate rows from scratch.
• Persistent tables. Results land in a real spreadsheet-like workspace, not just a tool response. Create tables, insert or upsert rows, attach enrichments to whole tables, and run them in bulk.
• Bulk operations. Run one enrichment or waterfall across many inputs in a single call.
• Cost transparency. Check credit balance before and after; every provider's price is queryable up front. Results are cached for 24 hours, so repeat lookups are free.

Typical agent workflows

• Take a list of domains and return enriched company profiles with firmographics, funding, and tech stack.
• Build a prospect list from ICP filters, find verified work emails via waterfall, and push it to the CRM.
• Research a single account across multiple providers and return one merged record.
• Keep a table of accounts continuously enriched as new rows arrive.

Tools

Grouped by surface:

• Enrichments — search_enrichments, get_enrichment_details, get_param_choices, run_enrichment, run_bulk_enrichment
• Waterfalls — search_waterfalls, run_waterfall, run_bulk_waterfall
• Data sources — search_data_sources, add_table_source, run_table_source, get_table_sources
• Tables — create_table, list_tables, get_table_columns, get_table_rows, create_rows, patch_rows, upsert_rows
• Table automation — get_table_enrichments, add_table_enrichment, run_table_enrichment, get_table_waterfalls, add_table_waterfall
• Account — get_user_balance

Install

Hosted (recommended). No installation; OAuth 2.1, so the client handles the sign-in flow. Streamable HTTP and legacy SSE both supported.

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  "mcpServers": {
    "databar": {
      "type": "http",
      "url": "https://mcp.databar.ai/mcp"
    }
  }
}

Links

• Website: https://databar.ai
• MCP server docs: https://docs.databar.ai/mcp-server
• Source: https://github.com/databar-ai/databar-mcp-server