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Pyplan

Pyplan is a platform for building and running Planning & Analytics applications across Finance, Sales, Operations, and HR. This connector lets Claude work directly with your Pyplan workspace: list the applications you have access to, open a specific app, read results from its model nodes (tables, cubes, KPIs), run the tools exposed inside the app to execute simulations and scenarios, and manage app versions. Authentication uses OAuth against your Pyplan tenant, so Claude only sees the apps, companies, and departments your user is already permitted to access — all role, team, and department-level permissions configured in Pyplan are respected. Key features: discovery and opening of Pyplan applications across your workspaces (My Apps, Public Apps, Team apps); execution of any tool exposed by an app's author (P&L generation, balance sheet and cash flow views, what-if simulations, forecast updates, etc.); structured retrieval of node results for analysis and visualization in chat; creation and saving of new application versions so scenario work is preserved alongside the baseline; and a domain-skill loader that gives Claude the right context for each Pyplan area before it acts.

View in the Claude registry
Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Financial Planning & FP&A Analytics

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is visible.

Brand
Pyplan
Access
Account required
First tracked
2026-06-17
Tool count
9
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

Pyplan in Financial Planning & FP&A Analytics

0/100
Invisible

#17of 17competitors

This is the score for the Integration’s Primary Category, Financial Planning & FP&A Analytics. Pyplan's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.

How this score is measured

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 0/100
    Sets the score
  • Found

    · 0/100
    Diagnostic
  • Positioned

    · 0/100
    Diagnostic
Primary Subcategory
10 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1ChartMogul100/100
2Intuit QuickBooks82/100
3Chargebee43/100
4Stripe39/100
5Mercury36/100
0Delta.aiOrganic discovery is pending verificationGet notified when verified
Abacum.aiOrganic discovery is pending verificationGet notified when verified
DrivepointOrganic discovery is pending verificationGet notified when verified
FincomeOrganic discovery is pending verificationGet notified when verified
ParallelOrganic discovery is pending verificationGet notified when verified
PyplanOrganic discovery is pending verificationGet notified when verified
Score explained

What does 0/100 mean?

0 is Pyplan's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Pyplan in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

Pyplan is 10 points from Buried.

FoundDiagnostic

Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

9 tools agents can invoke

Pyplan FAQ
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 Pyplan alternatives on Claude?

As of 2026-08-14, Pyplan competes with ChartMogul, Intuit QuickBooks, Chargebee, Stripe, Mercury, Xero, Embat, Tabs, NetSuite, Pigment, 0Delta.ai, Abacum.ai, Aleph, Drivepoint, Fincome, Parallel in Claude Financial Planning & FP&A Analytics, ranked by public Discoverability Score.

Where does Pyplan rank in Financial Planning & FP&A Analytics on Claude?

As of 2026-08-14, Pyplan ranks #17 of 17 in Claude Financial Planning & FP&A Analytics with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.