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AI & ML integration

Scorecard MCP integration for AI agents

Insiro connects AI agents to Scorecard MCP so they can act in it under your rules. Scorecard MCP is an evaluation platform for managing testsets, metrics, and runs. Use it to centralize model evaluations, scores, annotations, and docs search. Every Scorecard MCP action runs through Insiro's governed gateway, using each person's own connection (OAuth).

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What can AI agents do with Scorecard MCP?

With Insiro, agents can call models and AI services as steps in a pipeline, compare outputs and keep the best result, enrich records with generated summaries and route requests to the right model by cost, all inside the permissions you set for Scorecard MCP.

  • Call models and AI services as steps in a pipeline.
  • Compare outputs and keep the best result.
  • Enrich records with generated summaries.
  • Route requests to the right model by cost.

A journey through Insiro

Scorecard MCP logo Scorecard MCPInsiroNotion

Example: Scorecard MCP → Insiro → Notion to write generated research into a shared doc. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Scorecard MCP

Can Insiro AI agents use Scorecard MCP?

Yes. Insiro connects AI agents to Scorecard MCP through its governed MCP gateway. Agents can call models and AI services as steps in a pipeline and compare outputs and keep the best result using each person's own Scorecard MCP access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Scorecard MCP?

Scorecard MCP connects with OAuth. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Scorecard MCP read-only for agents?

Yes. In Insiro Governance, set Scorecard MCP to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

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Put Scorecard MCP to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

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  • 13governance checks on every agent tool call
  • 1,700+SaaS apps agents can act in
  • 30+data dialects for plain-English questions