INDIVIDUAL MCP TOOL

icp_scoring_model

Create a lead qualification scoring template: criteria with example point weights set by importance level, example points for each value you list, a scorecard and tier bands to adjust.

gtmhelix.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://icp-intelligence.gtmhelix.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for icp_scoring_model and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description contains a write-action term.

Parent server

gtmhelix.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.icp-intelligence-mcp]
url = "https://icp-intelligence.gtmhelix.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "icp-intelligence-mcp": {
      "type": "http",
      "url": "https://icp-intelligence.gtmhelix.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: icp-intelligence-mcp
Remote MCP URL: https://icp-intelligence.gtmhelix.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "icp-intelligence-mcp": {
      "url": "https://icp-intelligence.gtmhelix.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "icp-intelligence-mcp": {
      "type": "http",
      "url": "https://icp-intelligence.gtmhelix.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "icp-intelligence-mcp",
  "transport": "streamable-http",
  "url": "https://icp-intelligence.gtmhelix.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

icp_deep_dive — Analyze customer data to detect ICP patterns (industry, size, deal size, sales cycle, tech stack, triggers, champion roles).
buyer_group_analyzer — Map the buyer group for a deal: the champion you name, your known stakeholders placed by their titles (economic buyer, technical evaluator, reviewers, users), each role's concern and message prompts, an influence map and discovery questions.
tam_sam_som_calculator — Calculate TAM/SAM/SOM bottom-up from your company count, ACV, ICP match rate and Year 1 share (calculation framework, not a data source).
lookalike_signal_generator — Generate platform-specific targeting criteria and search queries from your firmographics, technographics, champion titles and buying triggers (generates criteria, not data).
account_prioritization — Rank and prioritize accounts by a weighted score of fit, intent, relationship and timing; each account shows the points its timing earned and the factor that added the most points
icp_gap_analysis — Analyze gaps between your current customer base and your ideal ICP: what the ideal profile has that the current base lacks, metric gaps from your current and target figures, causes to check and actions that fit your business model.
icp_evolution_tracker — Review how your ICP should evolve: reads your recent wins, losses and market changes against your current ICP, states a candidate change for each (an addition to test, a disqualifier to test, an implication to check) and writes a draft of the updated ICP, with the roles your ICP does not name, the loss reasons to tag and what to pull from your CRM.
icp_interview_synthesizer — Extract ICP patterns from customer interview notes: pain points, objections, buying triggers, value realized, champion roles and quotes kept word for word, with discovery questions and sector notes.