# Check an MCP Server Against a Trusted Baseline

**Use case:** 

Compare authorized MCP metadata with a trusted baseline and detect security-relevant tool, schema, authentication, package, and TLS changes.

## Input

```json
{
  "servers": "***",
  "authorizedUseConfirmed": true,
  "baselineMode": "compare_only",
  "promoteCandidateBaseline": false,
  "minimumAlertSeverity": "medium",
  "checkVulnerabilities": false,
  "checkTls": true,
  "includeRawNormalizedSnapshot": false,
  "requestTimeoutSeconds": 15,
  "maxRetries": 1,
  "concurrency": 1,
  "dryRun": true,
  "allowHttp": false,
  "allowPrivateNetwork": false,
  "maxResponseBytes": 65536
}
```

## Output

```json
{
  "serverName": {
    "label": "Server name",
    "format": "string"
  },
  "serverUrl": {
    "label": "Server URL",
    "format": "string"
  },
  "status": {
    "label": "Run status",
    "format": "string"
  },
  "reachable": {
    "label": "Reachable",
    "format": "boolean"
  },
  "transport": {
    "label": "Transport",
    "format": "string"
  },
  "baselineFound": {
    "label": "Trusted baseline found",
    "format": "boolean"
  },
  "overallSeverity": {
    "label": "Overall severity",
    "format": "text"
  },
  "riskScore": {
    "label": "Risk score",
    "format": "integer"
  },
  "changeCount": {
    "label": "Change count",
    "format": "integer"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "string"
  },
  "baselineUpdated": {
    "label": "Trusted baseline updated",
    "format": "boolean"
  },
  "candidateBaselineStored": {
    "label": "Candidate stored",
    "format": "boolean"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [MCP Server Security & Trust Monitor](https://apify.com/fascinating_lentil/mcp-trust-rug-pull-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fascinating_lentil/mcp-trust-rug-pull-monitor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/fascinating_lentil/mcp-trust-rug-pull-monitor.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).