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.

| `get_fundi