Pagos
Query your harmonized payments data and the Pagos BIN database conversationally
- Category
- Finance
- Primary Subcategory
- Self-Serve BI & Conversational Analytics
View in the Claude registryIntegration details
Description
The Pagos MCP Server connects your AI client to two powerful payment data sources: the Pagos BIN Database for payment card identification and issuer information, and your business' harmonized payments data for transaction event analysis and cost optimization. With BIN queries, look up card brand, issuer, network, and card type information for any BIN number. With Pagos Data queries, analyze your payment performance across processors, geographies, and card types—asking questions like "What's my authorization rate for Visa transactions this month?" or "How much am I spending on interchange fees by processor?" Pagos ingests data from all your payment processors, harmonizes it into a unified dataset, and makes it accessible through natural language queries in your preferred AI chat interface.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Self-Serve BI & Conversational Analytics
- Secondary Subcategories
- None listed
- Brand
- Pagos
- Access
- Account required
- First tracked
- 2026-07-06
- Tool count
- 14
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Discoverability Score
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What discovery looks like
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How Claude Connector discovery works
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Competing in Claude Self-Serve BI & Conversational Analytics
View Category14 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Pagos alternatives on Claude?
As of 2026-09-29, Pagos competes with Omni Analytics, Polar Analytics, Google Cloud BigQuery, dbt, Amplitude, Mixpanel, Snowflake, Supermetrics Marketing Analytics, Adobe Customer Journey Analytics, Aleph, DataHub, Funnel, PostHog, Fullstory, Supabase, Datadog, Metabase, ChartMogul, Hex, Flourish, Gainsight (Customer Communities), Orion by Gravity, Sigma, ThoughtSpot Spotter, Adzviser ActiveCampaign, Adzviser Amazon Seller Central, Adzviser Amazon Vendor Central, Adzviser BigCommerce, Adzviser CallRail, Adzviser CallTrackingMetrics, Adzviser Google Analytics, Adzviser HubSpot, Adzviser Klaviyo, Adzviser Mailchimp, Adzviser Matomo, Adzviser Pipedrive, Adzviser Shopify, Adzviser Sprout Social, Adzviser TikTok Shop, Adzviser WooCommerce, Adzviser Zoho CRM, AlterVision, Basedash, BEEM, Blaze SQL, Bloom Profit Analytics, BOCP - Business Online Control Panel, Cayra MCP, Charts by Szum, contextflo, Credible, Cube, Databox, dataki.ai, Draxlr, Evidence Studio, Fidence, forecast-coach.us-west.pmcp.run, Geckoboard, Jenner Analytics, Juicy attribution & profit, Loam Data, Margins, mcp.adeci.pt, mcp.hologrow.ai, New Vintage, Nexatron, Normalic Assistant, Notehub, Omnivio Lens, OWOX Data Marts, Protobi Claude MCP, Rill, Signara, Sprucely.io, Steep, Supernova, Tableau Cloud, Triple Whale, TrueGradient, TuSistema, Upsolve AI, VILAX, Windsor.ai for Web Analytics, WitCloud, Wren AI, YourBI, 댓글몽 in Claude Self-Serve BI & Conversational Analytics, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.