B2B Lead Enrichment vs MCP Icp Fit Scorer

In-depth architectural comparison of the B2B Lead Enrichment and MCP Icp Fit Scorer MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose B2B Lead Enrichment when:

• You need dedicated capabilities in the Customer Data Platforms domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• Primary tools included: Structured B2B company enrichment by domain, Confidence-scored results; only charged above 0.6 confidence, Free tier: 100 enrichments/month.

Explore B2B Lead Enrichment Details

Choose MCP Icp Fit Scorer when:

• You need dedicated capabilities in the Customer Data Platforms domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: APIFY_TOKEN.
• Primary tools included: Returns an ICP score from 0 to 100, Assigns an A-to-D ICP tier and lead tag, Provides per-signal breakdowns for hiring, technology stack, headcount, funding, and industry.

Feature & Specification Comparison

Specification	B2B Lead Enrichment Customer Data Platforms	MCP Icp Fit Scorer mambalabsdev Customer Data Platforms
Summary	Remote MCP server to enrich company profiles with structured B2B data and confidence scores.	Scores a company against a weighted ideal customer profile, returning a 0-100 score, A/B/C tier, and per-signal breakdown.
Category & Scope	Customer Data Platforms

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "b2b-lead-enrichment": {
      "command": "npx",
      "args": [
        "-y",
        "@anthropic-ai/mcp-server-lead-enrichment"
      ]
    }
  }
}

{
  "mcpServers": {
    "mambalabsdev-mcp-icp-fit-scorer": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-icp-fit-scorer"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN_HERE"
      }
    }
  }
}

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