INDIVIDUAL MCP TOOL

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).

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 tam_sam_som_calculator and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

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).
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.
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.
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.