MCP Gtm Suite vs U.S. Government Open Data
A side-by-side look at the MCP Gtm Suite and U.S. Government Open Data MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Gtm Suite for aggregators work as a local process; choose U.S. Government Open Data for aggregators as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Gtm Suite when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
APIFY_TOKEN. - You want tools like
scan_gtm_hiring_signals, detect_gtm_tech_stack, aggregate_gtm_signals.
Choose U.S. Government Open Data when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
bea_gdp_national, bea_gdp_by_state, bea_personal_income.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 64/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | API key required |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | APIFY_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 3 | 113 |
| Directory activity | 2 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 21 | 356 |
| Full listing | View MCP Gtm Suite | View U.S. Government Open Data |
Tools & capabilities
MCP Gtm Suite tools 21
scan_gtm_hiring_signalsScan company career pages to detect GTM hiring activity. Returns sales, marketing, and revenue operations job postings across Greenhouse, Lever, and Ashby as a flat, Clay-ready JSON row. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.detect_gtm_tech_stackDetect which GTM tools a company uses from its public website. Returns CRM, sequencer, and marketing automation signals with per-tool boolean flags as a flat, Clay-ready JSON row. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.aggregate_gtm_signalsAggregate a company's GTM signals into one composite score. Runs hiring and tech-stack detection in one call and returns a composite score, recommended action, and optional summary as a flat, Clay-ready JSON row. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.scan_job_board_keywordsScan a company's job board for roles in chosen categories across Greenhouse, Lever, Ashby, Workday, and Rippling. Returns matched role counts and titles per category as a flat, Clay-ready JSON row. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.resolve_linkedin_urlResolve a company domain or name to its LinkedIn company URL with a confidence score, firmographics, and social links as a flat, Clay-ready JSON row. Provide at least one of company_domain or company_name. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.score_icp_fitScore a company against your ideal customer profile (ICP) using weighted signals. Returns a 0 to 100 icp_score, an A to D icp_tier, and a per-signal breakdown as a flat, Clay-ready JSON row. Define your ICP with a template, scoring_config, or plain-English icp_description (which requires llm_api_key). Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.resolve_company_identityResolve any combination of company name, domain, or LinkedIn URL into one canonical company identity: the name, primary domain, and LinkedIn company URL, each with a 0-100 confidence score plus an overall score and a match method. Cross-checks the inputs you give it, resolves the ones you do not, and flags conflicts (a domain and a LinkedIn slug that disagree) instead of merging them. Provide at least one of company_name, domain, or linkedin_url. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.enrich_company_firmographicsEnrich a company domain into structured firmographics: employee band, industry, HQ, founded year, revenue estimate, logo, and description, with source provenance. Parsed from the company's schema.org/Organization JSON-LD and HTML meta tags and returned as a flat, Clay-ready JSON row with a source_signals array and a data_completeness score. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.map_company_social_presenceMap a company's social media presence across LinkedIn, X, Instagram, Facebook, and YouTube. Returns profile URLs and follower counts in flat Clay-ready JSON. Profiles are discovered from the company's own homepage links, a web search fallback, and pattern guessing, then validated against the company. Follower counts are extracted where public; X is URL-only (its count needs login) and Instagram and Facebook counts are best-effort. Provide at least one of company_domain or company_name. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.get_funding_press_signalsScan Google News and PR wires for funding rounds, executive moves, product launches, and acquisitions at any company domain. Returns deduplicated, dated events in flat Clay-ready JSON. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.get_company_changesMonitor a company domain for changes across hiring, tech stack, funding, firmographics, and social since the last run. Returns only what changed as typed change events in flat, Clay-ready JSON. Read-only; requires an APIFY_TOKEN and consumes Apify credits per call.detect_ai_toolingGiven a company domain, determine how far that company has gone with AI. Returns an ai_maturity tier of none, declared (says AI but nothing observable is running), deployed (AI tooling is live on the site), or commercialized (the pricing page charges for AI via credits, tokens, an add-on, an AI-named plan, or a per-outcome price), plus the detected AI vendors, validated llms.txt status, robots.txt AI-crawler policy, and the evidence behind the verdict. A domain behind a bot challenge returns blocked=true at low confidence rather than a false negative. Returns flat, Clay-ready JSON. Read-only; requires an APIFY_TOKEN and consumes Apify credits per domain analyzed.- +9 more on the listing page
U.S. Government Open Data tools 356
bea_gdp_nationalGet U.S. national GDP data from the NIPA tables. Shows GDP, GDP growth, components (consumption, investment, government, net exports), and deflators. Common table names: - T10101: GDP and major components (real) - T10106: GDP and major components (nominal) - T10111: GDP percent change - T20100: Personal income and its disposition - T30100: Government receipts and expendituresbea_gdp_by_stateGet gross domestic product for U.S. states from BEA Regional dataset. Table options: - SAGDP1: State annual GDP summary (default) - SAGDP9: Real GDP by state - SQGDP1: State quarterly GDP summary GeoFips: 'STATE' for all states, or 5-digit FIPS (e.g. '06000' for CA)bea_personal_incomeGet personal income data by state from BEA Regional dataset. Table options: - SAINC1: Personal income summary (income, population, per capita) — default - SAINC3: Per capita personal income only - SAINC4: Personal income by major component (wages, dividends, transfers) LineCode for SAINC1: 1=personal income, 2=population, 3=per capita income (default) LineCode for SAINC4: 1=total, 50=wages, 45=dividends/interest/rent, 47=transfer receiptsbea_gdp_by_industryGet GDP contribution by industry sector nationally from BEA GDPbyIndustry dataset. TableID options: - 1: Value added by industry (default) - 5: Contributions to percent change in real GDP - 6: Value added percent shares - 25: Real value added by industry Industry='ALL' returns all sectors.bea_dataset_infoDiscover BEA datasets, parameters, and valid parameter values. Essential for exploring the BEA API before making data requests. Actions: - list_datasets: List all available BEA datasets - list_parameters: List parameters for a dataset (requires dataset_name) - get_values: Get valid values for a parameter (requires dataset_name + parameter_name) - get_filtered_values: Get values filtered by other params (requires dataset_name + target_parameter + filters) Datasets: NIPA, NIUnderlyingDetail, FixedAssets, MNE, GDPbyIndustry, Regional, ITA, IIP, InputOutput, UnderlyingGDPbyIndustry, IntlServTradebea_nipa_underlying_detailGet NIPA underlying detail data — more granular national account breakdowns. BEA caution: these detailed estimates are lower quality than published aggregates. Common tables: U20305 (PCE current $), U70205S (auto sales/production monthly), U001A (GDP), U20304 (PCE by type). Use bea_dataset_info to discover all tables.bea_fixed_assetsGet Fixed Assets data — net stock, depreciation, and investment tables. Covers private/government fixed assets, equipment, structures, and IP products. Annual data only, updated once per year (late August – early October). Common tables: FAAt101 (current-cost net stock by type), FAAt201 (private equipment), FAAt401 (private nonresidential by industry), FAAt801 (current-cost depreciation). Use bea_dataset_info to discover all table names.bea_international_transactionsGet U.S. international transactions (balance of payments) data. Tracks all transactions between U.S. and foreign residents: goods/services trade, current account, financial account, capital transfers. Indicator examples: - BalGds: Balance on goods (default) - BalServ: Balance on services - BalCurAcct: Current account balance - ExpGds/ImpGds: Exports/Imports of goods - PfInvAssets: Portfolio investment assets Frequency: A=annual, QSA=quarterly seasonally adjusted, QNSA=not adjustedbea_international_investmentGet U.S. international investment position (IIP) data. Shows end-of-period accumulated stocks of U.S. financial assets and liabilities. TypeOfInvestment examples: - FinAssetsExclFinDeriv: U.S. assets excl derivatives (default) - FinLiabsExclFinDeriv: U.S. liabilities excl derivatives - DirInvAssets: Direct investment assets - FinLiabsFoa: Liabilities to foreign official agencies Component: 'Pos' (position), 'ChgPosTrans' (change from transactions), 'ChgPosPrice' (from price changes), 'ChgPosXRate' (from exchange rates)bea_intl_services_tradeGet U.S. international trade in services data (annual). IMPORTANT: BEA requires either a specific TypeOfService or a specific AreaOrCountry. You cannot use 'All' for both simultaneously. TypeOfService: 'All' (default), or specific: 'Telecom', 'Travel', 'Transport', 'Insurance', 'Financial', 'Comp', 'ChargesForTheUseOfIpNie', etc. Use bea_dataset_info to discover all values. TradeDirection: 'All' (default), 'Exports', 'Imports', 'Balance', 'SupplementalIns' Affiliation: 'All' (default), 'AllAffiliations', 'Affiliated', 'Unaffiliated', 'UsParents', 'UsAffiliates'bea_multinational_enterprisesGet data on Direct Investment (DI) and Activities of Multinational Enterprises (AMNE). DirectionOfInvestment (required): - 'Outward': U.S. investment abroad / foreign affiliates - 'Inward': Foreign investment in U.S. / U.S. affiliates - 'State': U.S. affiliates at state level (AMNE only) - 'Parent': U.S. parent enterprises (AMNE only) Classification (required): 'Country', 'Industry', 'CountryByIndustry' For AMNE stats, also set ownership_level ('0'=majority-owned, '1'=all) and non_bank_affiliates_only ('0'=both, '1'=nonbank only).bea_input_outputGet Input-Output statistics — Make Tables, Use Tables, and Requirements tables. Shows interrelationships between U.S. producers and users. Use bea_dataset_info (action='get_values', dataset_name='InputOutput', parameter_name='TableID') to discover available table IDs.- +344 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Gtm Suite
{
"mcpServers": {
"mambalabsdev-mcp-gtm-suite": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-gtm-suite"
],
"env": {
"APIFY_TOKEN": "YOUR_APIFY_TOKEN_HERE"
}
}
}
}
U.S. Government Open Data
{
"mcpServers": {
"u-s-government-open-data": {
"command": "npx",
"args": [
"-y",
"us-gov-open-data-mcp"
]
}
}
}
Frequently asked questions
MCP Gtm Suite is categorized under Aggregators and uses a local stdio subprocess. U.S. Government Open Data belongs to Aggregators and uses a local stdio subprocess. Pick MCP Gtm Suite for aggregators work and U.S. Government Open Data for aggregators.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Gtm Suite is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. U.S. Government Open Data has no declared pricing — check the project's own site. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add mambalabsdev-mcp-gtm-suite and u-s-government-open-data as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Gtm Suite has a quality signal of 64/100 (Good) with 2 views, 0 installs and 3 GitHub stars. U.S. Government Open Data has 68/100 (Great) with 1 views, 0 installs and 113 GitHub stars.