MCP Icp Fit Scorer vs B2B Lead Enrichment

In-depth architectural comparison of the MCP Icp Fit Scorer and B2B Lead Enrichment 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 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: score_icp_fit.

Explore MCP Icp Fit Scorer Details

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.

Feature & Specification Comparison

Specification	MCP Icp Fit Scorer mambalabsdev Customer Data Platforms	B2B Lead Enrichment Customer Data Platforms
Summary	Scores a company against a weighted ideal customer profile, returning a 0-100 score, A/B/C tier, and per-signal breakdown.	Remote MCP server to enrich company profiles with structured B2B data and confidence scores.
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": {
    "mambalabsdev-mcp-icp-fit-scorer": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-icp-fit-scorer"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN_HERE"
      }
    }
  }
}

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

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