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.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Financial Planning & FP&A Analytics
- Secondary Subcategories
- None listed
- Brand
- Pyplan
- Access
- Account required
- First tracked
- 2026-06-17
- Tool count
- 9
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedPyplan in Financial Planning & FP&A Analytics
#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 measuredWhat we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 0/100 - Diagnostic
Found
· 0/100 - Diagnostic
Positioned
· 0/100
Competing in Claude Financial Planning & FP&A Analytics
View CategoryWhat 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.
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.
9 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 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.