What the buyer should understand.
Satinash keeps storage sources and live tools distinct so buyers can see what is indexed and what is called. For connector catalog, the important buyer proof is simple: Open the connector catalog path in the Satinash client, perform the normal user action for the Connectors workflow, and verify the visible state, evidence, limits, or artifact output that confirms the capability completed its job. A strong demo narrates the user action, then pauses on the visible state before moving on: the active scope, the eligible sources or tools, the status message, the artifact output, the limit state, and the next action that a normal user can take. The evaluator leaves knowing that this is a flagship proof point shown early in a buyer demo because it anchors the broader Satinash story, how it is governed, and which adjacent features to test next.
the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker
Select Built-in Sign-in, BYO OAuth, service account, or MCP setup where supported. In the connector catalog documentation, this step includes the user-visible confirmation, the expected state change, and the reason the step matters to the buyer's evaluation checklist.
Primary proof surface: Open the connector catalog path in the Satinash client, perform the normal user action for the Connectors workflow, and verify the visible state, evidence, limits, or artifact output that confirms the capability completed its job. The evaluator sees the user action and the confirmation in the same flow, then identifies the exact state, table row, message, preview, control, citation, diagnostic, or output that proves connector catalog worked.
What Connector catalog solves
Connector catalog solves the client-side problem described by its product summary: a searchable catalog helps users discover storage and tool integrations. The feature is documented as a workflow a buyer can run in Satinash, with a visible beginning, a visible state change, and an inspection surface that confirms the work happened.
The strongest use case is not generic AI productivity. It is the specific connectors moment where workspace owners, IT partners, operations teams, and power users who connect the systems where work already lives need to decide which integration pattern fits a source or tool, whether a connector is healthy enough to build datasets or attach tools, whether expired credentials need reauth or a setup change, and whether a live tool should be available to a Core or only to selected chats. The page keeps that decision in view so the reader understands the job, the product surface, and the business reason for the capability.
Where it appears in the client
Connector catalog appears around the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker. Those locations give the buyer a concrete route through the product instead of a feature claim that only exists in a slide deck.
The relevant client objects are connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢. When the feature is evaluated, each object either provides scope, proves readiness, explains a limit, or shows the next action available to the user.
Proof surfaces and pitfalls
The primary proof surface is dataset browse rows and Core MCP tool picker entries sourced from connector metadata; the secondary proof surface is catalog cards that show connector purpose, setup path, and availability. Together they show the action, the state, and the evidence path a buyer can inspect during or after the demo.
The main pitfall is ignoring credit pressure until users hit an integration limit. A second pitfall is mixing storage connectors and live tool connectors in the buyer story. The documentation names both because long-form feature pages need to explain how a buyer can misread the workflow and how the client UI resolves that confusion.
What the user gets.
What it solves: Connector catalog addresses a concrete client-side problem in Satinash: a searchable catalog helps users discover storage and tool integrations. It keeps the discussion anchored in a workflow a buyer can actually run, not a broad AI claim. The documentation explains the moment of need, the risk of doing the work manually, and the reason this capability belongs in the product rather than in a training note or sales promise.
Where it appears: Connector catalog lives around the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker. The relevant user is usually workspace owners, IT partners, operations teams, and power users who connect the systems where work already lives. During evaluation, the buyer can point to the control, table, drawer, route, preview, or status label that makes the capability visible, then follow it into the next Satinash surface without asking for hidden context.
User outcome: A connector catalog that explains storage sources, server-auth options, Built-in Sign-in, and MCP tools. For connector catalog, that outcome is strongest when the user can start from a real task, see the scope and state, complete the action, and understand what changed. The before-and-after is clear enough that a stakeholder can retell the workflow after the demo.
Operational context: Connection setup flows that show callback URLs, auth methods, status, errors, and test results. The feature works with connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢. Those objects matter because they tell buyers what must already exist, what can be configured by a workspace user, and what needs inspection when the result looks different from expectation.
Decision support: Connector catalog helps teams decide which integration pattern fits a source or tool, whether a connector is healthy enough to build datasets or attach tools, whether expired credentials need reauth or a setup change, and whether a live tool should be available to a Core or only to selected chats. The documentation states those decisions directly so the page works as an evaluation aid, a sales leave-behind, and a product reference for people who were not in the live demo.
Related features: compare Connector catalog with Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors. Those nearby pages give the evaluator the rest of the workflow: the source setup, the control surface, the evidence trail, and the operational follow-through. Linking the pages this way keeps the 100-feature catalog from feeling like isolated fragments.
Scope boundary: Connector pages stay buyer-readable: authentication and health are explained at the product level, while secret handling and operator-only maintenance stay out of the page. For connector catalog, that boundary is important because the marketing content describes visible client behavior and buyer evidence while staying out of operator-only setup details unless they explain what the user can inspect.
Workflow documentation.
- Open the connector catalog and choose a storage source or live tool provider. Start the walkthrough by naming Connector catalog, the user role, and the current client location. Show the buyer exactly where the workflow begins, what object is selected, and which visible state tells the user the page is ready for action.
- Select Built-in Sign-in, BYO OAuth, service account, or MCP setup where supported. In the connector catalog documentation, this step includes the user-visible confirmation, the expected state change, and the reason the step matters to the buyer's evaluation checklist.
- Complete authentication, test the connection, and read the status details. In the connector catalog documentation, this step includes the user-visible confirmation, the expected state change, and the reason the step matters to the buyer's evaluation checklist.
- Use storage connectors in datasets or attach live MCP tools to a Core. In the connector catalog documentation, this step includes the user-visible confirmation, the expected state change, and the reason the step matters to the buyer's evaluation checklist.
- Monitor ₢ usage, repair expired credentials, and re-test integrations over time. In the connector catalog documentation, this step includes the user-visible confirmation, the expected state change, and the reason the step matters to the buyer's evaluation checklist.
- Check configuration before judging the result. For Connector catalog, configuration includes connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, and service-account subtype, plus the category-level controls listed in the page. A useful evaluation names which settings were chosen, which were inherited from a Core, plan, connector, dataset, or workspace, and which settings are intentionally not part of this feature.
- Inspect proof before moving to the next page. The best proof surface for this pass is dataset browse rows and Core MCP tool picker entries sourced from connector metadata. If that surface is absent, the demo stops and explains why, because buyer confidence depends on seeing the evidence trail rather than hearing that it exists somewhere else.
- Close the workflow by comparing the result with Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors. That comparison helps the evaluator understand whether connector catalog is the entry point, the supporting control, the repair path, or the trust signal inside the larger connectors story.
Proof, configuration, and buyer concerns.
Proof to inspect
- Primary proof surface: Open the connector catalog path in the Satinash client, perform the normal user action for the Connectors workflow, and verify the visible state, evidence, limits, or artifact output that confirms the capability completed its job. The evaluator sees the user action and the confirmation in the same flow, then identifies the exact state, table row, message, preview, control, citation, diagnostic, or output that proves connector catalog worked.
- Category proof: Show provider-specific auth options and callback URLs from backend connector metadata. Tie this proof to Connector catalog by naming the source object, status, or control that changed. A buyer does not have to infer whether the feature is active; the surface makes the active state legible.
- Evidence trail: dataset browse rows and Core MCP tool picker entries sourced from connector metadata. This is the surface to pause on during a demo because it shows how Satinash keeps the workflow inspectable after the initial click, message, upload, scan, connection, plan check, or widget preview.
- Secondary evidence: catalog cards that show connector purpose, setup path, and availability. This gives reviewers a second way to validate the same claim, which is useful when the buyer cares about support handoff, source governance, billing transparency, reliability, or daily user adoption.
- Evaluation checklist: Attach a live tool to a Core and confirm the tool is chosen by schema and description, not a provider shortcut. For connector catalog, record the expected result, the state that changed, and the related feature that would be tested next. That turns the page into a reusable checklist rather than a prose-only description.
- Table-friendly facts: Connector catalog; slug connector-catalog; category Connectors; fit primary; route /features/connector-catalog/; works with Built-in Sign-in, BYO OAuth, service accounts, MCP tools, status, and connector ₢; primary users workspace owners, IT partners, operations teams, and power users who connect the systems where work already lives; related features Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors. These facts are intentionally compact so comparison tables and sales notes can reuse them without rewriting the page.
- Buyer proof question: if a skeptical reviewer asks where connector catalog appears, what it depends on, and how to know it worked, the answer points to the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker, connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢, and the visible proof surfaces above.
Configuration notes
- Configuration model: Connector catalog appears in the Connectors client experience through visible controls, status labels, evidence panels, and adjacent workflows that evaluators can inspect without relying on behind-the-scenes implementation details. In practical terms, Connector catalog is shaped by Built-in Sign-in, BYO OAuth, service-account subtype, callback URL, and service-account methods., plus the category objects connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢. User-facing choices are separated from inherited workspace, Core, connector, dataset, or plan state so evaluators know what can be changed during normal use.
- Setup checklist: Connector catalog metadata, status details, repair actions, and ₢ visibility. Before a demo, confirm the prerequisites are present and visible. If the feature depends on a Core, dataset, connector, widget, plan, upload, or role, the docs identify how that dependency appears to the user and what message appears when it is missing or inactive.
- Limits, plan context, and table facts: Dataset source usage, Core MCP tool picker, per-chat tool filters, and live tool artifacts. The buyer does not need internal limit enforcement details, but they do need to know which capacity, model, connector, upload, document, widget, or team boundary can affect connector catalog. Table-ready configuration facts: Route family: connector catalog, connector setup, integration detail, dataset browse, and Core tool selection, Primary evidence: provider metadata, auth method, callback URL, status, test result, and readable error detail, Main dependencies: connector catalog, OAuth profile, service-account method, MCP schema, plan ₢, and permissions, and Buyer signal: integrations are visible, repairable, and separated by whether they index knowledge or call live tools.
- Pitfall to avoid: ignoring credit pressure until users hit an integration limit. Second pitfall to avoid: mixing storage connectors and live tool connectors in the buyer story. The evaluation record captures chosen configuration, visible state before and after the action, proof surface inspected, and related feature tested next so stakeholders can compare the feature across accounts without relying on memory.
Buyer concerns
Where does connector catalog show up for an end user? It appears around the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker. The answer points to the route, panel, table, drawer, composer control, preview, status chip, or action row that makes the capability visible in the product.
Can IT see exactly how a connector authenticates? For Connector catalog, the answer is visible in the active scope, the category-specific source objects, and the first proof surface. The buyer understands whether the feature uses approved knowledge, selected tools, a Core setting, a connector state, a plan allowance, or a public widget boundary.
Can users repair a broken integration without losing setup? That concern becomes a concrete evaluation check: Open the catalog and verify storage sources and live tools are described as different capability families. The buyer needs a visible pass or fail condition, not a vague assurance that the product can handle it.
Are live tools separated from indexed knowledge sources? If the concern appears during a live demo, pause on the pitfall called out above, then show the status or configuration that resolves it. That pattern teaches evaluators how to self-serve the next time they see the same behavior.
How does a buyer compare this with related features? Start with Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors. If Connector catalog is the control, the related pages usually show the source setup, the output, the repair path, or the trust evidence that surrounds it.
What gets documented after evaluation? Capture the user role, the exact workflow, the dependency objects, the configuration choices, the proof surfaces inspected, the pitfalls observed, and the next related feature to validate. That makes connector catalog useful as long-form documentation rather than a short marketing blurb.
Evaluation tables.
These tables turn the documentation into something a buyer, sales engineer, or implementation lead can inspect during a live walkthrough.
Evaluation checklist
| Check | What to inspect | Why it matters |
|---|---|---|
| Start with a real task | Attach a live tool to a Core and confirm the tool is chosen by schema and description, not a provider shortcut. The task uses a realistic customer question and the same source, tool, plan, role, or widget context the buyer expects in production. | This proves Connector catalog in the context where it will actually be used, rather than as an isolated demo click. |
| Confirm visible scope | Inspect the connector catalog, connection setup forms, authentication choice screens, test and reauth flows, status details, dataset browse, and Core tool picker and identify the active objects: connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢. | The buyer can see what is eligible, what is excluded, and which setting explains the result. |
| Inspect proof | Pause on dataset browse rows and Core MCP tool picker entries sourced from connector metadata and catalog cards that show connector purpose, setup path, and availability; record the state before and after the user action. | The feature is accepted on product evidence, not on a verbal promise. |
| Compare adjacent features | Continue into Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors after the first pass. | The buyer sees how Connector catalog fits into the rest of the connectors workflow and which capability answers the next concern. |
Proof matrix
| Evidence | Product proof | Buyer value |
|---|---|---|
| Visible proof | Open the connector catalog path in the Satinash client, perform the normal user action for the Connectors workflow, and verify the visible state, evidence, limits, or artifact output that confirms the capability completed its job. | Shows the exact client evidence a buyer can inspect during the feature walkthrough. |
| Category proof | Show provider-specific auth options and callback URLs from backend connector metadata. | Connects Connector catalog to the broader Connectors evaluation story. |
| Failure or limit proof | Pitfall to avoid: ignoring credit pressure until users hit an integration limit. | Makes confusing states understandable before they become objections. |
| Related proof | Related features: Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors. | Gives the evaluator a next page when they need source setup, output review, repair, or governance evidence. |
Configuration matrix
| Area | Control or dependency | Impact |
|---|---|---|
| Primary configuration | Built-in Sign-in, BYO OAuth, service-account subtype, callback URL, and service-account methods. | Explains the main control or inherited setting that shapes connector catalog. |
| Prerequisites | Required or relevant objects: connector catalog entry, Built-in Sign-in profile, BYO OAuth credentials, service-account subtype, MCP server, connection status, and connector ₢. | Keeps the demo honest about what must exist before the feature can prove value. |
| Limits | Dataset source usage, Core MCP tool picker, per-chat tool filters, and live tool artifacts. | Connects blocked, unavailable, or over-limit behavior to visible product guidance. |
| Table facts | Route family: connector catalog, connector setup, integration detail, dataset browse, and Core tool selection, Primary evidence: provider metadata, auth method, callback URL, status, test result, and readable error detail, Main dependencies: connector catalog, OAuth profile, service-account method, MCP schema, plan ₢, and permissions, and Buyer signal: integrations are visible, repairable, and separated by whether they index knowledge or call live tools | Provides compact comparison data for sales notes, buyer checklists, and category pages. |
Workflow map.
Best practices
- Attach a live tool to a Core and confirm the tool is chosen by schema and description, not a provider shortcut.
- Open the catalog and verify storage sources and live tools are described as different capability families.
- Record the route /features/connector-catalog/, proof surfaces, configuration state, and related features Managed storage connectors, MCP live tool connectors, Built-in Sign-in connectors, and BYO OAuth connectors.
- Use the feature with the user audience executive evaluators, department leads, and first pilot teams so the evaluation reflects the intended rollout path.
Limits to discuss
- ignoring credit pressure until users hit an integration limit
- mixing storage connectors and live tool connectors in the buyer story
- primary documentation proves the happy path, the visible limits, and the recovery behavior because the capability shapes trust in the rest of the platform
- Connector pages stay buyer-readable: authentication and health are explained at the product level, while secret handling and operator-only maintenance stay out of the page.
Terms buyers will hear.
| Term | Definition | Use in evaluation |
|---|---|---|
| Feature route | /features/connector-catalog/ | Canonical URL for the buyer-facing documentation page. |
| Feature fit | primary: a flagship proof point shown early in a buyer demo because it anchors the broader Satinash story. | Explains whether the feature is a flagship, focused, supporting, or trust-oriented page. |
| Primary users | workspace owners, IT partners, operations teams, and power users who connect the systems where work already lives | Clarifies who must understand and validate the workflow. |
| Works with | Built-in Sign-in, BYO OAuth, service accounts, MCP tools, status, and connector ₢ | Lists the adjacent product areas that shape the feature in use. |