MCP Connector Policy Linter
Pricing
Pay per event
MCP Connector Policy Linter
Audit MCP tool manifests and generate least-privilege policy guidance.
MCP Connector Policy Linter
Pricing
Pay per event
Audit MCP tool manifests and generate least-privilege policy guidance.
You can access the MCP Connector Policy Linter 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "searchKeywords": [10 "source-backed signal",11 "buyer fit",12 ],13 "taskIntent": "buyer-ready-product-run",14 "sourceMode": "sample",15 "outputMode": "sample-records",16 "startUrls": [],17 "requestTimeoutSecs": 30,18 "maxRequestRetries": 2,19 "sinceLastRun": False,20 "deltaMode": True,21}22
23# Run the Actor and wait for it to finish24run = client.actor("zentrafoundry/zentra-mcp-connector-policy-linter").call(run_input=run_input)25
26# Fetch and print Actor results from the run's dataset (if there are any)27print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")28for item in client.dataset(run.default_dataset_id).iterate_items():29 print(item)30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use MCP Connector Policy Linter API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: