io.github.shashwatgtm/icp-intelligence-mcp

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Au dernier audit MCP Hub, le serveur MCP « io.github.shashwatgtm/icp-intelligence-mcp » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 9 outils

• account_prioritization≈ 488 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

  Paramètres, retour & exemple (4)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • accounts · array · optionnel
    List of accounts to prioritize. Each account: name, fit_score (0 to 100), intent_signals (0 to 100), relationship (0 to 100), timing (now, soon, later or unknown)
  • product_category · string · optionnel
    Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it
  • prioritization_weights · object · optionnel
    Optional custom weights in percent for fit, intent, relationship and timing. A missing weight uses its default (40, 30, 15, 15); the tool does not check that the weights sum to 100

  Exemple d'appel

  {"name": "account_prioritization", "arguments": {"company": "texte", "accounts": [], "product_category": "texte", "prioritization_weights": {}}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• buyer_group_analyzer≈ 390 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 one of the supported sectors

  Paramètres, retour & exemple (7)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • deal_size · string · optionnel
    ACV range (e.g., "$50K-100K")
  • business_model · string · optionnel · saas | services | connectivity | transactions | marketplace | hardware_software | investment
    Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out
  • product_category · string · requis
    What you sell
  • typical_champion · string · optionnel
    Your typical champion role
  • known_stakeholders · array · optionnel
    Roles you know are involved
  • target_company_size · string · optionnel
    Company size (e.g., "500-1000 employees")

  Exemple d'appel

  {"name": "buyer_group_analyzer", "arguments": {"product_category": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• icp_deep_dive≈ 417 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

  Paramètres, retour & exemple (5)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • customers · array · optionnel
    List of customer objects with available attributes
  • business_model · string · optionnel · saas | services | connectivity | transactions | marketplace | hardware_software | investment
    Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out
  • product_category · string · optionnel
    What type of product you sell
  • customer_descriptions · string · optionnel
    Alternative: Describe your best customers in text format

  Exemple d'appel

  {"name": "icp_deep_dive", "arguments": {"company": "texte", "customers": [], "business_model": "saas", "product_category": "texte", "customer_descriptions": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• icp_evolution_tracker≈ 355 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 loss reasons to tag and what to pull from your CRM. It does not compute win rates; check each candidate against your CRM

  Paramètres, retour & exemple (7)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • current_icp · string · requis
    Your current ICP definition
  • recent_wins · string · optionnel
    Description of recent successful customers
  • time_period · string · optionnel
    Time period you are reviewing, in your own words (for example "last quarter")
  • recent_losses · string · optionnel
    Description of recent lost deals
  • market_changes · string · optionnel
    Recent market or competitive changes
  • product_category · string · optionnel
    Optional: what you sell, used for sector notes

  Exemple d'appel

  {"name": "icp_evolution_tracker", "arguments": {"current_icp": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• icp_gap_analysis≈ 490 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 sectors

  Paramètres, retour & exemple (7)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • ideal_icp · string · requis
    Description of your ideal customer profile
  • business_model · string · optionnel · saas | services | connectivity | transactions | marketplace | hardware_software | investment
    Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out
  • target_metrics · object · optionnel
    Target performance metrics
  • current_metrics · object · optionnel
    Current performance metrics
  • product_category · string · optionnel
    Optional: what you sell, used for sector notes
  • current_customers · string · requis
    Description of your current customer base

  Exemple d'appel

  {"name": "icp_gap_analysis", "arguments": {"ideal_icp": "texte", "current_customers": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• icp_interview_synthesizer≈ 419 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 analyzed.

  Paramètres, retour & exemple (5)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • analysis_focus · string · optionnel
    Accepted but not used yet: every run gives the complete analysis (pain_points, buying_journey, value_props, all)
  • interview_notes · array · optionnel
    Structured interview notes
  • raw_transcripts · string · optionnel
    Alternative: paste interview notes or transcripts. This tool does not analyze pasted text: it shows up to 500 characters back with a template to structure them as interview_notes, which it does analyze
  • product_category · string · optionnel
    Optional: what you sell, used for sector notes

  Exemple d'appel

  {"name": "icp_interview_synthesizer", "arguments": {"company": "texte", "analysis_focus": "texte", "interview_notes": [], "raw_transcripts": "texte", "product_category": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• icp_scoring_model≈ 328 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 inputs name one of the supported sectors

  Paramètres, retour & exemple (4)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • product_category · string · optionnel
    Optional: what you sell, as a product category, so the scoring notes use your sector
  • scoring_criteria · array · optionnel
    Criteria for scoring with importance levels
  • success_correlation · string · optionnel
    What correlates with success? (e.g., "deals with VP Sales champion close 2x faster")

  Exemple d'appel

  {"name": "icp_scoring_model", "arguments": {"company": "texte", "product_category": "texte", "scoring_criteria": [], "success_correlation": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• lookalike_signal_generator≈ 444 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

  Paramètres, retour & exemple (7)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • platforms · array · optionnel
    Optional: the sections to include (linkedin, google_ads, 6sense, zoominfo). Left out, every section is included
  • buying_triggers · array · optionnel
    Events that trigger buying
  • champion_titles · array · requis
    Job titles of your champions
  • product_category · string · optionnel
    Optional: what you sell (for example "spend management software"), used for search keywords and sector notes
  • icp_firmographics · object · optionnel
    Firmographic criteria
  • icp_technographics · array · optionnel
    Technologies your ICP typically uses

  Exemple d'appel

  {"name": "lookalike_signal_generator", "arguments": {"champion_titles": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• tam_sam_som_calculator≈ 426 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

  Paramètres, retour & exemple (8)

  Paramètres

  • company · string · optionnel
    Optional: your company or product name, so the answer can name it
  • data_sources · string · optionnel
    Where you got your numbers (for documentation)
  • segment_name · string · optionnel
    Name of the market segment
  • icp_percentage · number · optionnel
    Percentage of those companies that match your ICP, from 0 to 100. Left out, 30 is used and marked as an example
  • product_category · string · optionnel
    Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it
  • average_contract_value · number · requis
    Your average ACV in dollars
  • total_potential_companies · number · requis
    Estimated total companies that could buy (from LinkedIn, industry reports)
  • year1_market_share_target · number · optionnel
    Realistic Year 1 market share percentage, from 0 to 100 (typically 1-5%). Left out, 3 is used and marked as an example

  Exemple d'appel

  {"name": "tam_sam_som_calculator", "arguments": {"average_contract_value": 1, "total_potential_companies": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

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