Mcp Gtm Suite

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
• Pricing
• 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 (8 inputs): required domain; optional role_filter, ats_slug, mode, include_role_details, previous_gtm_role_count, previous_run_date, max_charge_usd
• detect_gtm_tech_stack (7 inputs): optional domain, company_domain, url, crawl_additional_pages, skipCache, technologies, max_charge_usd
• aggregate_gtm_signals (5 inputs): required company_domain; optional include_summary, explain_mode, sources, max_charge_usd
• scan_job_board_keywords (7 inputs): required company_domain, role_categories; optional custom_keywords, enable_fallback, previous_roles_detected, previous_run_date, max_charge_usd
• resolve_linkedin_url (6 inputs): optional company_domain, company_name, includeFirmographics, skipCache, minConfidenceScore, max_charge_usd
• score_icp_fit (44 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, max_charge_usd
• resolve_company_identity (6 inputs): optional company_name, domain, linkedin_url, skipCache, minLinkedinConfidence, max_charge_usd
• enrich_company_firmographics (6 inputs): optional domain, company_name, domains, batchSize, skipCache, max_charge_usd
• map_company_social_presence (6 inputs): optional company_domain, company_name, platforms, includeFollowerCounts, skipCache, max_charge_usd
• get_funding_press_signals (5 inputs): required domain; optional company_name, signal_types, lookback_days, max_charge_usd
• get_company_changes (7 inputs): required domain; optional company_name, previous_snapshot, sub_actor_timeout_secs, sources, min_severity, max_charge_usd
• detect_ai_tooling (7 inputs): optional domain, domains, check_pricing, skipCache, request_timeout_ms, vendors, max_charge_usd
• fingerprint_outbound_infrastructure (10 inputs): optional domain, domains, scan_sending_domains, sending_domain_depth, check_deliverability, skipCache, max_sending_domain_probes, request_timeout_ms, dns_timeout_ms, max_charge_usd
• track_publication_cadence (9 inputs): optional domain, domains, max_pages_to_date, domain_time_budget_ms, skipCache, page_concurrency, max_sitemap_fetches, request_timeout_ms, max_charge_usd
• push_leads_to_sequencer (11 inputs): required sequencer, campaign_id; optional api_key, leads, dataset_id, min_icp_score, deduplicate, dry_run, field_mapping, custom_variables, max_charge_usd
• audit_agent_accessibility (6 inputs): required domain; optional check_endpoints, check_structured_data, skipCache, checks, max_charge_usd
• classify_contact (9 inputs): required job_title; optional full_name, company_domain, verify_position, use_llm_fallback, llm_provider, llm_model, skipCache, max_charge_usd
• map_company_event_presence (7 inputs): required domain; optional company_name, years, include_own_events, max_queries, skipCache, max_charge_usd
• resolve_legal_entity (9 inputs): required domain, sec_requester_name, sec_requester_email; optional legal_name_hint, jurisdiction_hint, match_strictness, validate_vat, skipCache, max_charge_usd
• monitor_public_awards (8 inputs): required register; optional window_days, min_award_value, max_entities, exclude_government_recipients, resolve_domains, domain_confidence_floor, max_charge_usd
• capture_linkedin_posts_and_commenters (4 inputs): optional profile_urls, company_urls, posted_since, max_charge_usd.

Every tool also accepts max_charge_usd, an optional spending cap in USD for that call: the actor stops before any charge that would take the run past it and keeps every row already charged.

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

Pricing

Each tool runs its actor on your own Apify account and is billed there, pay per event. Every run also carries Apify's actor start event at $0.00005 per GB of memory. Prices below are read from each actor's live pricing record on 2026-10-16; the Apify page of each actor carries the current price.

Tool	Events and price per event (USD)
scan_gtm_hiring_signals	apify-default-dataset-item $0.05 on the Free plan, down to $0.0425 on higher Apify plans
detect_gtm_tech_stack	apify-default-dataset-item $0.015 on the Free plan, down to $0.0128 on higher Apify plans
aggregate_gtm_signals	apify-default-dataset-item $0.055 on the Free plan, down to $0.0385 on higher Apify plans
scan_job_board_keywords	apify-default-dataset-item $0.05 on the Free plan, down to $0.0425 on higher Apify plans
resolve_linkedin_url	apify-default-dataset-item $0.006 on the Free plan, down to $0.0051 on higher Apify plans
score_icp_fit	apify-default-dataset-item $0.05 on the Free plan, down to $0.0425 on higher Apify plans
resolve_company_identity	apify-default-dataset-item $0.007 on the Free plan, down to $0.00595 on higher Apify plans
enrich_company_firmographics	apify-default-dataset-item $0.004 on the Free plan, down to $0.0034 on higher Apify plans
map_company_social_presence	apify-default-dataset-item $0.015 on the Free plan, down to $0.0128 on higher Apify plans
get_funding_press_signals	apify-default-dataset-item $0.03 on the Free plan, down to $0.0255 on higher Apify plans
get_company_changes	apify-default-dataset-item $0.01 on the Free plan, down to $0.0085 on higher Apify plans; change-source-resolved $0.01 on the Free plan, down to $0.0085 on higher Apify plans
detect_ai_tooling	actor-start $0.00005; domain-analyzed $0.003 on the Free plan, down to $0.00255 on higher Apify plans
fingerprint_outbound_infrastructure	actor-start $0.00005; domain-analyzed $0.004 on the Free plan, down to $0.0034 on higher Apify plans
track_publication_cadence	actor-start $0.00005; domain-analyzed $0.004 on the Free plan, down to $0.0034 on higher Apify plans
push_leads_to_sequencer	lead-pushed $0.01 on the Free plan, down to $0.0085 on higher Apify plans
audit_agent_accessibility	domain-analyzed $0.005 on the Free plan, down to $0.00425 on higher Apify plans
classify_contact	contact-classified $0.003 on the Free plan, down to $0.00255 on higher Apify plans
map_company_event_presence	company-analyzed $0.005 on the Free plan, down to $0.00425 on higher Apify plans
resolve_legal_entity	domain-resolved $0.007 on the Free plan, down to $0.00595 on higher Apify plans
monitor_public_awards	award-winner-found $0.005 on the Free plan, down to $0.00425 on higher Apify plans
capture_linkedin_posts_and_commenters	post-collected $0.002 on the Free plan, down to $0.0017 on higher Apify plans

A pricing change takes effect on 2026-10-26 for company-firmographic-enricher, company-identity-resolver, domain-to-linkedin-url-resolver: the charge moves to a result event. Check the actor's Apify page after that date.

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 57 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.

Tool	Actor	Immutable Actor ID
scan_gtm_hiring_signals	GTM Hiring Signal Scraper	D7O1SA2EqwHGsGr1P
detect_gtm_tech_stack	Tech Stack Signal Detector	qyd7nNyqFPelQViBx
aggregate_gtm_signals	GTM Signals Aggregator	xKdRfnfFNkdMpFuNs
scan_job_board_keywords	Job Board Keyword Signal Scanner	4DvqpvhMR74NLcDDY
resolve_linkedin_url	Domain to LinkedIn URL Resolver	3HtnSaqPHOg1Qg5gx
score_icp_fit	ICP Fit Scorer	W161DT8W4kW55dMFh
resolve_company_identity	Company Identity Resolver	lr8fTRAmZCBZmuwwh
enrich_company_firmographics	Company Firmographic Enricher	YlUtLWjfPpqykmB8g
map_company_social_presence	Company Social Presence Mapper	4k6CCemkgBDz18m2h
get_funding_press_signals	Funding and Press Signal Scanner	FS13X6dhQVgX3XOM6
get_company_changes	Company Change Event Feed	oX44rS0fkEJ3rXLWe
detect_ai_tooling	AI Tooling Detector	EwkHhmqiuJgRoVEbE
fingerprint_outbound_infrastructure	Outbound Stack Detector	v43UJC8r7qW7cBSTG
track_publication_cadence	Publishing Frequency Tracker	TbLwaUUATdYb6wp4N
push_leads_to_sequencer	Sequencer Lead Push	0Jv27VeWM5tSZQs9x
audit_agent_accessibility	Agent Accessibility Auditor	anxbRv0lKrpQ1pnua
classify_contact	Contact Classifier	0lGSeYJmniXhGANnO
map_company_event_presence	Event Presence Index	WLhMy8fMDgsxdYxv5
resolve_legal_entity	Legal Entity Resolver	KHFyPCDIx7CyqULYm
monitor_public_awards	Government Contract Award Monitor	zhEtllASykOcx9hJ8
capture_linkedin_posts_and_commenters	LinkedIn Post Tracker	oiGLNPuaf5BRaz9K5

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