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DataMerge MCP

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B2B data enrichment for 375M+ companies and contacts.

MCP ServerOtherRemote (streamable-http)
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Updated 2026-06-16

What is the DataMerge MCP MCP server?

DataMerge MCP connects AI agents to a commercial B2B dataset spanning more than 375 million companies. It supplies structured information on legal entities, ownership hierarchies, and verified contacts for enrichment tasks.

The server runs over streamable-http, allowing remote access without local installation. Users can query company records and hierarchy data directly from their MCP-compatible clients.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.datamerge.ai"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

Enrich the company record for Acme Corp with latest legal entity and contact data
Find the corporate hierarchy for Example Holdings and list all subsidiaries
Append verified email contacts for decision makers at TechNova Inc
Clean and standardize this list of 50 company names using global B2B data

Security & permissions

Streamable-http transport requires a remote endpoint and API credentials stored in environment variables. The server accesses third-party B2B data and may transmit company identifiers and enrichment results.

What you can do with DataMerge MCP

Lead Enrichment

Append verified contacts and firmographics to inbound lead lists before CRM import.

Hierarchy Mapping

Resolve parent-subsidiary relationships to understand corporate structures for compliance or M&A.

Data Cleansing

Standardize and complete company records in existing databases using canonical identifiers.

How to use DataMerge MCP

  1. 1Obtain API credentials from the DataMerge provider.
  2. 2Configure the MCP client with the streamable-http endpoint URL and required env vars.
  3. 3Add the server entry to your MCP configuration file.
  4. 4Restart the client and verify the connection status.
  5. 5Test with a sample enrichment prompt to confirm data retrieval.

DataMerge MCP: pros & cons

Pros

  • +Extensive coverage of 375M+ companies and hierarchies
  • +Remote streamable-http access without local data hosting
  • +Direct integration with AI agents for enrichment workflows
  • +Focus on legal entity and contact accuracy

Cons

  • No tools documented in available README
  • Requires paid API access for production use
  • Dependent on external service availability and rate limits
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Frequently asked questions

Legal entities, corporate hierarchies, and professional contacts for over 375 million companies.

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