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DataMerge MCP Server

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DataMerge provides a full suite of tools for company and contact enrichment, allowing users to enhance their data quality and insights. This server is ideal for marketers and sales teams looking to improve their lead generation and customer relationship management.

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AI Skill
SKILL.md

Domain knowledge for DataMerge — workflow patterns, data models, and gotchas for your AI agent.

DataMerge enriches company and contact data to improve lead generation and customer relationship management. The service provides extensive data enhancement capabilities for sales teams and marketers looking to build better prospect databases.

Core Capabilities

Company Enrichment: Enrich company profiles by domain name, either individually or in batches. All enrichment operations are asynchronous - submit a job and poll for completion status to retrieve enriched records.

Contact Discovery & Enrichment: Search for contacts at specific companies or enrich existing contact data using LinkedIn URLs or name+domain combinations. Contact operations also follow the async job pattern.

Lookalike Analysis: Find companies similar to your seed set by providing domains of target companies. Useful for expanding total addressable market.

Hierarchy Mapping: Retrieve complete corporate hierarchies showing parent-subsidiary relationships and global ultimate ownership structures.

List Management: Create and manage curated lists of companies or contacts for ongoing campaigns and tracking.

Domain Model

The service operates on two primary objects: companies (identified by domain or datamerge_id) and contacts (identified by record_id UUID). All enrichment jobs return job_ids that must be polled until completion. Successfully completed jobs provide record_ids for retrieving the enriched data.

Key Patterns

Most data operations are asynchronous - you initiate a job, receive a job_id, then poll the status endpoint until completion. The service includes credit tracking and prompt templates for common workflows. API key configuration may be required before first use if not set in environment variables.

Frequently Asked Questions

What is the DataMerge MCP server?

DataMerge provides a full suite of tools for company and contact enrichment, allowing users to enhance their data quality and insights. This server is ideal for marketers and sales teams looking to improve their lead generation and customer relationship management. It provides tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect DataMerge to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/datamerge-mcp. Authentication is handled automatically.

What authentication does DataMerge require?

DataMerge uses API Key. DataMerge requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect DataMerge to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/datamerge-mcp

What is MCP?

Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.

Use this bundle in 3 steps

  1. Copy the MCP URL above
  2. Open your AI tool and add a new MCP/connector
  3. Paste the URL and follow any auth prompts

Claude Desktop Users

Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.

Pick your tool tab for exact steps

Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.

Ready to use DataMerge?

Sign in to connect your credentials and start running tools from the chat.

DataMerge MCP Server & Skill