io.github.shashwatgtmPublished by GitHub account shashwatgtmv1.2.26Updated Oct 26, 2026
ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting
Nine read-only GTM tools that let an assistant build ideal customer profiles, size markets, map buyer groups and prioritize accounts from data you supply.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.shashwatgtm%2Ficp-intelligence-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"icp-intelligence": {
"type": "http",
"url": "https://icp-intelligence.gtmhelix.com/mcp"
}
}
}Deep ICP Analysis with Pattern Detection: 9 tools for ideal customer profiling, market sizing, buyer mapping, and account prioritization.
Add https://icp-intelligence.gtmhelix.com/mcp to Claude or ChatGPT as a custom connector. It needs no sign-in and always runs the newest version (1.2.26). The same tools run as a free web app with a form per tool at https://icp-intelligence.gtmhelix.com/, and the setup steps are at https://icp-intelligence.gtmhelix.com/connect/.
The npm package below is an older version (1.0.0 on npm on 27 September 2026) until the next npm release. Use it only if you need a local stdio server.
[NPM Version] [License: MIT] [MCP Registry]
Add to your claude_desktop_config.json:
Generated on 27 September 2026 from the server's own tool list, and checked again on 26 October 2026 against tools/list of icp-intelligence-mcp 1.2.26 (the same code as the hosted MCP address), so every tool name, title, description and input below is exactly what the server accepts. Every tool is read-only.
icp_deep_dive)icp_scoring_model)buyer_group_analyzer)tam_sam_som_calculator)lookalike_signal_generator)account_prioritization)icp_gap_analysis)icp_evolution_tracker)icp_interview_synthesizer)This MCP is built on the principle that ICP is dynamic, not static. The best B2B companies continuously refine their ICP based on:
Key Principles:
Shashwat Ghosh, Co-Founder and Fractional CMO, Helix GTM Consulting, with 24+ years in B2B and 10+ years of fractional experience
MIT License: see LICENSE for details.
Part of the Helix GTM Consulting MCP suite: rule-based B2B go-to-market tools (no AI model runs inside them)
The same tools are also available as a hosted MCP server, so they work in Claude on the web, desktop and mobile without installing anything.
https://icp-intelligence.gtmhelix.com/mcpclaude mcp add --transport http icp-intelligence https://icp-intelligence.gtmhelix.com/mcpThe npm package (stdio) and the hosted server run the same createServer() code in src/index.ts.
The tool reference on the docs page (https://icp-intelligence.gtmhelix.com/docs/) is generated from the code. Where it differs from the parameter tables earlier in this README, the docs page is correct.
Full policy: https://icp-intelligence.gtmhelix.com/privacy/ (also in PRIVACY.md).
Source: README.md at commit eb9bfeb
ICP Deep Dive
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
companycustomersbusiness_modelproduct_categorycustomer_descriptionsICP 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. Your success pattern is matched to your criteria; it does not set the weights. Sector notes are added when your inputs name one of the supported sectors
companyproduct_categoryscoring_criteriasuccess_correlationBuyer 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. Sector roles and questions are added when your inputs name one of the supported sectors
companydeal_sizebusiness_modelproduct_categoryrequiredtypical_championknown_stakeholderstarget_company_sizeTAM 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). Sector notes are added when your inputs name one of the supported sectors
companydata_sourcessegment_nameicp_percentageproduct_categoryaverage_contract_valuerequiredtotal_potential_companiesrequiredyear1_market_share_targetLookalike Signal Generator
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
companyplatformsbuying_triggerschampion_titlesrequiredproduct_categoryicp_firmographicsicp_technographicsAccount 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
companyaccountsproduct_categoryprioritization_weightsICP 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. Sector notes are added when your inputs name one of the supported sectors
companyideal_icprequiredbusiness_modeltarget_metricscurrent_metricsproduct_categorycurrent_customersrequiredICP 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. It does not compute win rates; check each candidate against your CRM
companycurrent_icprequiredrecent_winstime_periodrecent_lossesmarket_changesproduct_categoryICP 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. Pasted notes are shown back (shortened) with a template to structure them; only structured notes are analyzed.
companyanalysis_focusinterview_notesraw_transcriptsproduct_category100% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
# Run directly with npxnpx -y @shashwatgtmalpha/icp-intelligence-mcp{ "mcpServers": { "icp-intelligence-mcp": { "command": "npx", "args": ["-y", "@shashwatgtmalpha/icp-intelligence-mcp"] } }}