Safeguard
Azure AI Foundry Integration

Safeguard for Azure AI Foundry

Connect Safeguard’s MCP server to Azure AI Foundry by Microsoft Azure and ask about your software supply chain security in natural language. Query vulnerabilities, SBOMs, packages, licenses, and compliance data — and let Azure AI Foundry reason over your real security posture.

Add this connector URL

https://mcp.safeguard.sh/mcp/azure

This is Safeguard’s MCP server endpoint purpose-built for Azure AI Foundry. Add it as a custom connector, then authorize with OAuth or an API key.

Connector: Safeguard Security70+ security toolsOAuth 2.0 or API key
Capabilities

What you can do in Azure AI Foundry.

Once the Safeguard Security connector is enabled, Azure AI Foundry can call 35+ security tools and read MCP resources and prompts on your behalf.

Query vulnerabilities & findings

Ask about CVEs, severities, and open findings across your projects in plain language — no query syntax required.

Explore SBOMs, packages & licenses

Inspect components, package versions, transitive dependencies, and license obligations pulled straight from your SBOMs.

AI-powered remediation plans

Generate concrete fix plans for npm, pip, Maven, Go, and Cargo projects — upgrade paths, breaking-change notes, and all.

Compare & analyze SBOMs

Diff and analyze SBOMs in both CycloneDX and SPDX formats to see what changed between builds and releases.

SCM integrations

Reach repositories across GitHub, GitLab, Bitbucket, and Azure DevOps to scope security questions to real code.

Risk scoring & compliance reporting

Surface risk scores and compliance posture, then turn the answers into reports your stakeholders can read.

Policy-gate enforcement

Evaluate policy gates for deployment readiness and understand exactly why a build would pass or be blocked.

Multi-tenant for enterprise

Built multi-tenant from the ground up, so large organizations can keep teams and data cleanly isolated.

Connect Azure AI Foundry

Enable it in a few steps.

1

Create your Safeguard account

Register an account at app.safeguard.sh — or sign in if you already have one.

2

In Azure AI Foundry, add a custom MCP connector

Open Azure AI Foundry and add a custom MCP connector / server.

3

Enter the connector URL

Enter the URL https://mcp.safeguard.sh/mcp/azure and name it “Safeguard Security”.

4

Authenticate

Sign in to Safeguard and click Approve when Azure AI Foundry prompts you.

5

Done — ask away

Safeguard’s 70+ security tools are now available to Azure AI Foundry. Start asking questions.

Prefer a CLI-based MCP client? Drop this into your MCP client config using mcp-remote.

mcp.config.json
{
  "mcpServers": {
    "safeguard": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.safeguard.sh/mcp/azure"],
      "env": { "SAFEGUARD_API_KEY": "<your-api-key>" }
    }
  }
}

Replace <your-api-key> with a key from your Safeguard settings.

Auth is simple: you just need a Safeguard account. Create one at app.safeguard.sh if you don’t have one — then just Approve access when Azure AI Foundry asks. Prefer keys? Generate one at your API keys page.

Try these

Example prompts.

“List my security projects”
“Find critical vulnerabilities across my projects”
“Show me all SBOMs”
“Generate a remediation plan for my npm project”
“Which packages violate my license policy?”

Bring your supply chain into Azure AI Foundry.

Add the Safeguard Security connector, authorize with OAuth or an API key, and start asking Azure AI Foundry about your vulnerabilities, SBOMs, and compliance in seconds.