MCP gtm suite agent
MCP server for the full Mamba Labs GTM Suite.
by mambalabsdev·MIT license·★ 2 Stars on the repo·GitHub ↗
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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 scoresenrich_company_firmographics: enrich a domain into employee band, industry, HQ, founded year, revenue, logo, and descriptionmap_company_social_presence: map a domain to LinkedIn, X, Instagram, Facebook, and YouTube URLs and follower countsresolve_linkedin_url: resolve a domain or name to a LinkedIn company URL
Signals
scan_gtm_hiring_signals: detect GTM hiring activity from career pagesdetect_gtm_tech_stack: detect CRM, sequencer, and marketing automation toolsscan_job_board_keywords: scan job boards for roles in any categoryget_funding_press_signals: scan news and PR wires for funding, exec moves, launches, and acquisitionsget_company_changes: monitor a domain and return only what changed since the last rundetect_ai_tooling: determine whether a company declares, deploys, or charges for AIfingerprint_outbound_infrastructure: determine whether a company runs cold outbound, on what stack, and from which lookalike sending domainstrack_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 into one composite scorescore_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 EDGARclassify_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 itmap_company_event_presence: the third-party conferences a company publicly says it attendsmonitor_public_awards: the companies that won work in a public award register, one row per winnercapture_linkedin_posts_and_commenters: recent LinkedIn posts from profiles and company pages, with the commenters LinkedIn shows publicly, and no login
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): requireddomain; optionalrole_filter,ats_slug,mode,include_role_details,previous_gtm_role_count,previous_run_datedetect_gtm_tech_stack(5 inputs): optionaldomain,company_domain,url,crawl_additional_pages,skipCacheaggregate_gtm_signals(3 inputs): requiredcompany_domain; optionalinclude_summary,explain_modescan_job_board_keywords(6 inputs): requiredcompany_domain,role_categories; optionalcustom_keywords,enable_fallback,previous_roles_detected,previous_run_dateresolve_linkedin_url(4 inputs): optionalcompany_domain,company_name,includeFirmographics,skipCachescore_icp_fit(43 inputs): requiredcompany_domain; optionalcompany_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_countresolve_company_identity(4 inputs): optionalcompany_name,domain,linkedin_url,skipCacheenrich_company_firmographics(5 inputs): optionaldomain,company_name,domains,batchSize,skipCachemap_company_social_presence(5 inputs): optionalcompany_domain,company_name,platforms,includeFollowerCounts,skipCacheget_funding_press_signals(2 inputs): requireddomain; optionalcompany_nameget_company_changes(4 inputs): requireddomain; optionalcompany_name,previous_snapshot,sub_actor_timeout_secsdetect_ai_tooling(5 inputs): optionaldomain,domains,check_pricing,skipCache,request_timeout_msfingerprint_outbound_infrastructure(9 inputs): optionaldomain,domains,scan_sending_domains,sending_domain_depth,check_deliverability,skipCache,max_sending_domain_probes,request_timeout_ms,dns_timeout_mstrack_publication_cadence(8 inputs): optionaldomain,domains,max_pages_to_date,domain_time_budget_ms,skipCache,page_concurrency,max_sitemap_fetches,request_timeout_mspush_leads_to_sequencer(10 inputs): requiredsequencer,campaign_id; optionalapi_key,leads,dataset_id,min_icp_score,deduplicate,dry_run,field_mapping,custom_variablesaudit_agent_accessibility(4 inputs): requireddomain; optionalcheck_endpoints,check_structured_data,skipCacheclassify_contact(8 inputs): requiredjob_title; optionalfull_name,company_domain,verify_position,use_llm_fallback,llm_provider,llm_model,skipCachemap_company_event_presence(6 inputs): requireddomain; optionalcompany_name,years,include_own_events,max_queries,skipCacheresolve_legal_entity(6 inputs): requireddomain; optionallegal_name_hint,jurisdiction_hint,match_strictness,validate_vat,skipCachemonitor_public_awards(7 inputs): requiredregister; optionalwindow_days,min_award_value,max_entities,exclude_government_recipients,resolve_domains,domain_confidence_floorcapture_linkedin_posts_and_commenters(7 inputs): optionalprofile_urls,company_urls,posted_since,collect_commenters,collect_reactors,max_engagers_per_post,use_residential_proxy
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:
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.
| 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
| 1 | # Mamba Labs GTM Suite MCP Server |
| 2 | |
| 3 | [![Smithery]](https://smithery.ai/servers/mambabuilt/mcp-gtm-suite) [![Glama score]](https://glama.ai/mcp/servers/mambalabsdev/mcp-gtm-suite) [![MCP Registry]](https://registry.modelcontextprotocol.io/v0/servers?search=com.mambabuilt/mcp-gtm-suite&limit=1) [![npm version]](https://www.npmjs.com/package/@mambalabsdev/mcp-gtm-suite) [![npm downloads]](https://www.npmjs.com/package/@mambalabsdev/mcp-gtm-suite) [![license]](https://github.com/mambalabsdev/mcp-gtm-suite/blob/main/LICENSE) [![mcpservers.org]](https://mcpservers.org/servers/mambalabsdev/mcp-gtm-suite) |
| 4 | |
| 5 | 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. |
| 6 | |
| 7 | ## What's Inside |
| 8 | |
| 9 | [What it does] |
| 10 | [Quick start] |
| 11 | [Prerequisites] |
| 12 | [Example prompts] |
| 13 | [Tools and inputs] |
| 14 | [How each call runs] |
| 15 | [Full actor documentation] |
| 16 | [Mamba Labs GTM Suite] |
| 17 | [License] |
| 18 | |
| 19 | ## What it does |
| 20 | |
| 21 | 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. |
| 22 | |
| 23 | **Identity and enrichment** |
| 24 | |
| 25 | `resolve_company_identity`: reconcile name, domain, and LinkedIn URL into one canonical identity with confidence scores |
| 26 | `enrich_company_firmographics`: enrich a domain into employee band, industry, HQ, founded year, revenue, logo, and description |
| 27 | `map_company_social_presence`: map a domain to LinkedIn, X, Instagram, Facebook, and YouTube URLs and follower counts |
| 28 | `resolve_linkedin_url`: resolve a domain or name to a LinkedIn company URL |
| 29 | |
| 30 | **Signals** |
| 31 | |
| 32 | `scan_gtm_hiring_signals`: detect GTM hiring activity from career pages |
| 33 | `detect_gtm_tech_stack`: detect CRM, sequencer, and marketing automation tools |
| 34 | `scan_job_board_keywords`: scan job boards for roles in any category |
| 35 | `get_funding_press_signals`: scan news and PR wires for funding, exec moves, launches, and acquisitions |
| 36 | `get_company_changes`: monitor a domain and return only what changed since the last run |
| 37 | `detect_ai_tooling`: determine whether a company declares, deploys, or charges for AI |
| 38 | `fingerprint_outbound_infrastructure`: determine whether a company runs cold outbound, on what stack, and from which lookalike sending domains |
| 39 | `track_publication_cadence`: how much long-form work a company publishes per month, and whether that rate is rising or falling |
| 40 | |
| 41 | **Scoring** |
| 42 | |
| 43 | `aggregate_gtm_signals`: combine hiring and tech-stack signals into one composite score |
| 44 | `score_icp_fit`: score a company against your ideal customer profile |
| 45 | |
| 46 | **Entity and record resolution** |
| 47 | |
| 48 | `resolve_legal_entity`: resolve a domain to its registered legal entity in Companies House, GLEIF or SEC EDGAR |
| 49 | `classify_contact`: turn a job title into a department, a seniority level and a sortable rank, by deterministic rule |
| 50 | |
| 51 | **Reach and readiness** |
| 52 | |
| 53 | `audit_agent_accessibility`: whether an AI agent can read a site, and what the site's policy says about it |
| 54 | `map_company_event_presence`: the third-party conferences a company publicly says it attends |
| 55 | `monitor_public_awards`: the companies that won work in a public award register, one row per winner |
| 56 | `capture_linkedin_posts_and_commenters`: recent LinkedIn posts from profiles and company pages, with the commenters LinkedIn shows publicly, and no login |
| 57 | |
| 58 | 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. |
| 59 | |
| 60 | ## Quick start |
| 61 | |
| 62 | You need Node.js 18 or newer and an Apify account with an API token. |
| 63 | |
| 64 | Add this to your Claude Desktop config: |
| 65 | |
| 66 | |
| 67 | { |
| 68 | "mcpServers": { |
| 69 | "mamba-gtm-suite": { |
| 70 | "command": "npx", |
| 71 | "args": ["-y", "@mambalabsdev/mcp-gtm-suite"], |
| 72 | "env": { |
| 73 | "APIFY_TOKEN": "your-apify-token" |
| 74 | } |
| 75 | } |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | |
| 80 | Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. All twenty one tools will be available. |
| 81 | |
| 82 | ## Prerequisites |
| 83 | |
| 84 | Node.js 18 or newer |
| 85 | An Apify account with an API token |
| 86 | |
| 87 | ## Example prompts |
| 88 | |
| 89 | "Profile stripe.com: firmographics, hiring signals, tech stack, and an overall GTM score." |
| 90 | "Resolve the canonical identity for Deel, then enrich its firmographics and social presence." |
| 91 | "Find figma.com's LinkedIn URL, then score it against my ICP." |
| 92 | "Any funding or exec moves at openai.com recently, and what CRM do they use?" |
| 93 | "What changed at datadoghq.com since last week?" |
| 94 | |
| 95 | ## Tools and inputs |
| 96 | |
| 97 | 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. |
| 98 | |
| 99 | `scan_gtm_hiring_signals` (7 inputs): required `domain`; optional `role_filter`, `ats_slug`, `mode`, `include_role_details`, `previous_gtm_role_count`, `previous_run_date` |
| 100 | `detect_gtm_tech_stack` (5 inputs): optional `domain`, `company_domain`, `url`, `crawl_additional_pages`, `skipCache` |
| 101 | `aggregate_gtm_signals` (3 inputs): required `company_domain`; optional `include_summary`, `explain_mode` |
| 102 | `scan_job_board_keywords` (6 inputs): required `company_domain`, `role_categories`; optional `custom_keywords`, `enable_fallback`, `previous_roles_detected`, `previous_run_date` |
| 103 | `resolve_linkedin_url` (4 inputs): optional `company_domain`, `company_name`, `includeFirmographics`, `skipCache` |
| 104 | `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` |
| 105 | `resolve_company_identity` (4 inputs): optional `company_name`, `domain`, `linkedin_url`, `skipCache` |
| 106 | `enrich_company_firmographics` (5 inputs): optional `domain`, `company_name`, `domains`, `batchSize`, `skipCache` |
| 107 | `map_company_social_presence` (5 inputs): optional `company_domain`, `company_name`, `platforms`, `includeFollowerCounts`, `skipCache` |
| 108 | `get_funding_press_signals` (2 inputs): required `domain`; optional `company_name` |
| 109 | `get_company_changes` (4 inputs): required `domain`; optional `company_name`, `previous_snapshot`, `sub_actor_timeout_secs` |
| 110 | `detect_ai_tooling` (5 inputs): optional `domain`, `domains`, `check_pricing`, `skipCache`, `request_timeout_ms` |
| 111 | `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` |
| 112 | `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` |
| 113 | `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` |
| 114 | `audit_agent_accessibility` (4 inputs): required `domain`; optional `check_endpoints`, `check_structured_data`, `skipCache` |
| 115 | `classify_contact` (8 inputs): required `job_title`; optional `full_name`, `company_domain`, `verify_position`, `use_llm_fallback`, `llm_provider`, `llm_model`, `skipCache` |
| 116 | `map_company_event_presence` (6 inputs): required `domain`; optional `company_name`, `years`, `include_own_events`, `max_queries`, `skipCache` |
| 117 | `resolve_legal_entity` (6 inputs): required `domain`; optional `legal_name_hint`, `jurisdiction_hint`, `match_strictness`, `validate_vat`, `skipCache` |
| 118 | `monitor_public_awards` (7 inputs): required `register`; optional `window_days`, `min_award_value`, `max_entities`, `exclude_government_recipients`, `resolve_domains`, `domain_confidence_floor` |
| 119 | `capture_linkedin_posts_and_commenters` (7 inputs): optional `profile_urls`, `company_urls`, `posted_since`, `collect_commenters`, `collect_reactors`, `max_engagers_per_post`, `use_residential_proxy` |
| 120 | |
| 121 | `push_leads_to_sequencer` is the only tool here that writes: it adds leads to your campaign unless `dry_run` is true. |
| 122 | |
| 123 | ## How each call runs |
| 124 | |
| 125 | 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. |
| 126 | |
| 127 | ## Full actor documentation |
| 128 | |
| 129 | For the complete input and output reference, pricing, and run history of each actor, see the Mamba Labs Apify Store page: |
| 130 | |
| 131 | https://apify.com/mambalabs |
| 132 | |
| 133 | |
| 134 | |
| 135 | ## Mamba Labs GTM Suite |
| 136 | |
| 137 | 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]. |
| 138 | |
| 139 | | Tool | Actor | Immutable Actor ID | |
| 140 | |---|---|---| |
| 141 | | `scan_gtm_hiring_signals` | [GTM Hiring Signal Scraper] | `D7O1SA2EqwHGsGr1P` | |
| 142 | | `detect_gtm_tech_stack` | [Tech Stack Signal Detector] | `qyd7nNyqFPelQViBx` | |
| 143 | | `aggregate_gtm_signals` | [GTM Signals Aggregator] | `xKdRfnfFNkdMpFuNs` | |
| 144 | | `scan_job_board_keywords` | [Job Board Keyword Signal Scanner] | `4DvqpvhMR74NLcDDY` | |
| 145 | | `resolve_linkedin_url` | [Domain to LinkedIn URL Resolver] | `3HtnSaqPHOg1Qg5gx` | |
| 146 | | `score_icp_fit` | [ICP Fit Scorer] | `W161DT8W4kW55dMFh` | |
| 147 | | `resolve_company_identity` | [Company Identity Resolver] | `lr8fTRAmZCBZmuwwh` | |
| 148 | | `enrich_company_firmographics` | [Company Firmographic Enricher] | `YlUtLWjfPpqykmB8g` | |
| 149 | | `map_company_social_presence` | [Company Social Presence Mapper] | `4k6CCemkgBDz18m2h` | |
| 150 | | `get_funding_press_signals` | [Funding and Press Signal Scanner] | `FS13X6dhQVgX3XOM6` | |
| 151 | | `get_company_changes` | [Company Change Event Feed] | `oX44rS0fkEJ3rXLWe` | |
| 152 | | `detect_ai_tooling` | [AI Tooling Detector] | `EwkHhmqiuJgRoVEbE` | |
| 153 | | `fingerprint_outbound_infrastructure` | [Outbound Stack Detector] | `v43UJC8r7qW7cBSTG` | |
| 154 | | `track_publication_cadence` | [Publishing Frequency Tracker] | `TbLwaUUATdYb6wp4N` | |
| 155 | | `push_leads_to_sequencer` | [Sequencer Lead Push] | `0Jv27VeWM5tSZQs9x` | |
| 156 | | `audit_agent_accessibility` | [Agent Accessibility Auditor] | `anxbRv0lKrpQ1pnua` | |
| 157 | | `classify_contact` | [Contact Classifier] | `0lGSeYJmniXhGANnO` | |
| 158 | | `map_company_event_presence` | [Event Presence Index] | `WLhMy8fMDgsxdYxv5` | |
| 159 | | `resolve_legal_entity` | [Legal Entity Resolver] | `KHFyPCDIx7CyqULYm` | |
| 160 | | `monitor_public_awards` | [Government Contract Award Monitor] | `zhEtllASykOcx9hJ8` | |
| 161 | | `capture_linkedin_posts_and_commenters` | [LinkedIn Post Tracker] | `oiGLNPuaf5BRaz9K5` | |
| 162 | |
| 163 | > 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. |
| 164 | |
| 165 | > Built by [Mamba Labs] | [npm] | [Apify Store] | [mambabuilt.com] |
| 166 | |
| 167 | ## License |
| 168 | |
| 169 | MIT |
| 170 | |
| 171 | Built by Mamba Labs. https://apify.com/mambalabs |
| 172 |
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