IT OPS

Enrich Discovered SaaS Apps with Vendor Risk via MCP

For each newly discovered SaaS app, an agent calls your internal vendor-risk MCP server plus web research to assemble a risk profile.

CategoryIT Ops
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew unsanctioned app record arrives
  • ActionQuery internal vendor-risk MCP serverCustom MCP server
  • ActionResearch vendor security posture on the webExa
  • LogicSynthesize findings into a scored risk tier
  • OutputPublish risk brief to ConfluenceConfluenceConfluence

What it does

This is an agent-driven enrichment pass that runs after discovery. For every unsanctioned app, the agent queries your internal vendor-risk MCP server for any existing records, supplements gaps with live web research on the vendor's security posture (SOC 2, data residency, breach history), assigns a risk tier, and publishes a structured brief to Confluence so reviewers walk into the approval decision already informed.

When to use it

Use it when your shadow-IT backlog is too large to research by hand and reviewers keep approving apps without enough context. It front-loads the diligence so the human decision is fast and defensible.

How it works

  1. 1A new-app record (from the discovery workflow) triggers the agent.
  2. 2The agent queries the internal vendor-risk MCP server for prior assessments or contracts.
  3. 3Where data is missing, it runs targeted web research on the vendor's compliance and breach history.
  4. 4It synthesizes findings into a risk tier with rationale and recommended action.
  5. 5The brief is published as a Confluence page linked back to the review queue.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Custom MCP serverConnect any MCP-compatible tool you own.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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