Gtm Suite MCP Server

Mamba Labs GTM Suite MCP Server

One MCP server that exposes the Mamba Labs GTM Suite. Install a single package and get all twenty one account-intelligence tools in your MCP client, each wrapping a Mamba Labs actor on Apify and returning Clay-ready flat JSON.

What's Inside

• What it does
• Quick start
• Prerequisites
• Example prompts
• Tools and inputs
• How each call runs
• Full actor documentation
• Mamba Labs GTM Suite
• License

What it does

This server gives an AI client twenty one account-intelligence tools in one place, covering the full GTM workflow: resolve identity, enrich the account, detect buying signals, score fit, and push the survivors into a sequencer.

Identity and enrichment

• resolve_company_identity: reconcile name, domain, and LinkedIn URL into one canonical identity with confidence scores
• enrich_company_firmographics: enrich a domain into employee band, industry, HQ, founded year, revenue, logo, and description
• map_company_social_presence: map a domain to LinkedIn, X, Instagram, Facebook, and YouTube URLs and follower counts
• resolve_linkedin_url: resolve a domain or name to a LinkedIn company URL

Signals

• scan_gtm_hiring_signals: detect GTM hiring activity from career pages
• detect_gtm_tech_stack: detect CRM, sequencer, and marketing automation tools
• scan_job_board_keywords: scan job boards for roles in any category
• get_funding_press_signals: scan news and PR wires for funding, exec moves, launches, and acquisitions
• get_company_changes: monitor a domain and return only what changed since the last run; choose the sources to watch and a severity floor
• detect_ai_tooling: determine whether a company declares, deploys, or charges for AI
• fingerprint_outbound_infrastructure: determine whether a company runs cold outbound, on what stack, and from which lookalike sending domains
• track_publication_cadence: how much long-form work a company publishes per month, and whether that rate is rising or falling

Scoring

• aggregate_gtm_signals: combine hiring and tech-stack signals, plus funding, events, or workplace on request, into one composite score
• score_icp_fit: score a company against your ideal customer profile

Entity and record resolution

• resolve_legal_entity: resolve a domain to its registered legal entity in Companies House, GLEIF or SEC EDGAR
• classify_contact: turn a job title into a department, a seniority level and a sortable rank, by deterministic rule

Reach and readiness

• audit_agent_accessibility: whether an AI agent can read a site, and what the site's policy says about it
• map_company_event_presence: the third-party conferences a company publicly says it attends
• monitor_public_awards: the companies that won work in a public award register, one row per winner
• capture_linkedin_posts_and_commenters: the LinkedIn posts a search engine has indexed for profiles and company pages, with no request to LinkedIn (commenters removed 2026-10-12)

All of the work runs on Apify. This package is a thin client that routes each tool call to the right actor and hands back the result.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config:

{
  "mcpServers": {
    "mamba-gtm-suite": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-gtm-suite"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. All twenty one tools will be available.

Prerequisites

• Node.js 18 or newer
• An Apify account with an API token

Example prompts

• "Profile stripe.com: firmographics, hiring signals, tech stack, and an overall GTM score."
• "Resolve the canonical identity for Deel, then enrich its firmographics and social presence."
• "Find figma.com's LinkedIn URL, then score it against my ICP."
• "Any funding or exec moves at openai.com recently, and what CRM do they use?"
• "What changed at datadoghq.com since last week?"

Tools and inputs

Each tool maps to one Apify actor. Every input each tool accepts is listed below, generated from the server's own tool list. Where a tool marks nothing required, it still needs one identifier: the tool says which when you call it without one.

• scan_gtm_hiring_signals (7 inputs): required domain; optional role_filter, ats_slug, mode, include_role_details, previous_gtm_role_count, previous_run_date
• detect_gtm_tech_stack (6 inputs): optional domain, company_domain, url, crawl_additional_pages, skipCache, technologies
• aggregate_gtm_signals (4 inputs): required company_domain; optional include_summary, explain_mode, sources
• scan_job_board_keywords (6 inputs): required company_domain, role_categories; optional custom_keywords, enable_fallback, previous_roles_detected, previous_run_date
• resolve_linkedin_url (5 inputs): optional company_domain, company_name, includeFirmographics, skipCache, minConfidenceScore
• score_icp_fit (43 inputs): required company_domain; optional company_name, template, scoring_config, icp_description, llm_api_key, llm_provider, fetch_signals, include_explanation, tier_thresholds, funded_within_days, min_score_to_output, previous_score, gtm_hiring_signal, gtm_role_count, uses_hubspot, uses_salesforce, uses_clay, crm_detected, seq_tool_detected, tech_stack, headcount, headcount_min, headcount_max, headcount_in_range, employee_band, revenue_estimate, hq_location, founded_year, recently_funded, last_funding_date, latest_funding_date, latest_funding_amount, funding_stage, industry, industry_match, target_industries, social_platforms_found, total_followers, has_linkedin, has_twitter, job_count, keyword_match_count
• resolve_company_identity (5 inputs): optional company_name, domain, linkedin_url, skipCache, minLinkedinConfidence
• enrich_company_firmographics (5 inputs): optional domain, company_name, domains, batchSize, skipCache
• map_company_social_presence (5 inputs): optional company_domain, company_name, platforms, includeFollowerCounts, skipCache
• get_funding_press_signals (4 inputs): required domain; optional company_name, signal_types, lookback_days
• get_company_changes (6 inputs): required domain; optional company_name, previous_snapshot, sub_actor_timeout_secs, sources, min_severity
• detect_ai_tooling (6 inputs): optional domain, domains, check_pricing, skipCache, request_timeout_ms, vendors
• fingerprint_outbound_infrastructure (9 inputs): optional domain, domains, scan_sending_domains, sending_domain_depth, check_deliverability, skipCache, max_sending_domain_probes, request_timeout_ms, dns_timeout_ms
• track_publication_cadence (8 inputs): optional domain, domains, max_pages_to_date, domain_time_budget_ms, skipCache, page_concurrency, max_sitemap_fetches, request_timeout_ms
• push_leads_to_sequencer (10 inputs): required sequencer, campaign_id; optional api_key, leads, dataset_id, min_icp_score, deduplicate, dry_run, field_mapping, custom_variables
• audit_agent_accessibility (5 inputs): required domain; optional check_endpoints, check_structured_data, skipCache, checks
• classify_contact (8 inputs): required job_title; optional full_name, company_domain, verify_position, use_llm_fallback, llm_provider, llm_model, skipCache
• map_company_event_presence (6 inputs): required domain; optional company_name, years, include_own_events, max_queries, skipCache
• resolve_legal_entity (6 inputs): required domain; optional legal_name_hint, jurisdiction_hint, match_strictness, validate_vat, skipCache
• monitor_public_awards (7 inputs): required register; optional window_days, min_award_value, max_entities, exclude_government_recipients, resolve_domains, domain_confidence_floor
• capture_linkedin_posts_and_commenters (3 inputs): optional profile_urls, company_urls, posted_since.

push_leads_to_sequencer is the only tool here that writes: it adds leads to your campaign unless dry_run is true.

How each call runs

Each call starts the actor run, polls it until it finishes, then reads the dataset. A run is allowed 1,800 seconds. If the run is still going when this call stops waiting, the call returns the run id and a console link instead of a timeout, so the result is never lost.

Full actor documentation

For the complete input and output reference, pricing, and run history of each actor, see the Mamba Labs Apify Store page:

https://apify.com/mambalabs

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Mamba Labs GTM Suite

This is the umbrella server for the Mamba Labs GTM Suite: twenty one account-intelligence tools for go-to-market signal intelligence, each backed by a dedicated Apify actor and also published as its own standalone MCP server. The Mamba Labs fleet has 53 public actors; the brand presence mappers, the influencer suite, Expert Witness Directory, and the other actors outside this list are available as their own servers under @mambalabsdev on npm.

The Domain Deliverability Checker actor is published as a standalone MCP server but is intentionally not bundled here: it audits email-sending infrastructure (SPF, DKIM, DMARC, blacklists) rather than account intelligence, so it sits outside this suite's scope.

Built by Mamba Labs | npm | Apify Store | mambabuilt.com

License

MIT

Built by Mamba Labs. https://apify.com/mambalabs