MCP server

Icp Intelligence

io.github.shashwatgtm/icp-intelligence-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

9

Token cost

About 3,729 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http icp-intelligence-mcp https://icp-intelligence.gtmhelix.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"icp-intelligence-mcp","server_url":"https://icp-intelligence.gtmhelix.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"icp-intelligence-mcp","server_url":"https://icp-intelligence.gtmhelix.com/mcp"}

Tools

• account_prioritization ~490 tokens
  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
• buyer_group_analyzer ~386 tokens
  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. Sector roles and questions are added when your inputs name
• icp_deep_dive ~416 tokens
  Analyze customer data to detect ICP patterns (industry, size, deal size, sales cycle, tech stack, triggers, champion roles). Ties are named as ties, the budget is the ACV range seen in your customers, and sector notes are added when your inputs name one of the supported sectors
• icp_evolution_tracker ~349 tokens
  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 l
• icp_gap_analysis ~492 tokens
  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. Sector notes are added when your inputs name one of the supported se
• icp_interview_synthesizer ~413 tokens
  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. Pasted notes are shown back (shortened) with a template to structure them; only structured notes are
• icp_scoring_model ~320 tokens
  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. Your success pattern is matched to your criteria; it does not set the weights. Sector notes are added when your inp
• lookalike_signal_generator ~438 tokens
  Generate platform-specific targeting criteria and search queries from your firmographics, technographics, champion titles and buying triggers (generates criteria, not data). Each trigger gets its own signal; search keywords come from what you sell and the sector; platforms limits the sections
• tam_sam_som_calculator ~425 tokens
  Calculate TAM/SAM/SOM bottom-up from your company count, ACV, ICP match rate and Year 1 share (calculation framework, not a data source). Sector notes are added when your inputs name one of the supported sectors

Browse

• GitHub tools
• CRM
• Hiring and jobs
• GitHub and code hosting

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