Pricing

from $1.00 / 1,000 server inspections

MCP Server Security & Trust Monitor

Monitor authorized public MCP servers for tool, schema, permission, package, TLS, and behavioral drift. Detect suspicious changes, preserve trusted baselines, and quarantine risky updates for manual approval.

Pricing

from $1.00 / 1,000 server inspections

Rating

0.0

(0)

Developer

Md Jakaria Mirza

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Developer tools

You can access the MCP Server Security & Trust Monitor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "servers": [{
10            "name": "public-mcp-fixture-smoke",
11            "url": "https://raw.githubusercontent.com/erenmyeager15/mcp-trust-rug-pull-monitor/master/src/__fixtures__/mcp-manifest.json",
12            "transport": "static_json",
13            "enabled": True,
14            "tags": ["public-demo"],
15        }],
16    "authorizedUseConfirmed": True,
17    "baselineMode": "compare_only",
18    "promoteCandidateBaseline": False,
19    "minimumAlertSeverity": "critical",
20    "checkVulnerabilities": False,
21    "checkTls": False,
22    "includeRawNormalizedSnapshot": False,
23    "requestTimeoutSeconds": 3,
24    "maxRetries": 0,
25    "concurrency": 1,
26    "dryRun": True,
27    "allowHttp": False,
28    "allowPrivateNetwork": False,
29    "maxResponseBytes": 16384,
30}
31
32# Run the Actor and wait for it to finish
33run = client.actor("fascinating_lentil/mcp-trust-rug-pull-monitor").call(run_input=run_input)
34
35# Fetch and print Actor results from the run's dataset (if there are any)
36print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
37for item in client.dataset(run.default_dataset_id).iterate_items():
38    print(item)
39
40# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

MCP Server Trust & Tool Drift Monitor API in Python

The Apify API client for Python is the official library that allows you to use MCP Server Security & Trust Monitor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

MCP Server Security & Trust Monitor API in JavaScript

MCP Server Security & Trust Monitor API through CLI

MCP Server Security & Trust Monitor OpenAPI definition

MCP Server Security & Trust Monitor API

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