MCP Proof: Bounded MCP Evaluation
Under maintenancePricing
Pay per usage
Run a bounded known-answer evaluation set against an MCP server, snapshot tool schemas, grade deterministically, and return an evidence receipt. Not certification.
You can access the MCP Proof: Bounded MCP Evaluation 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "url": "https://mcp.example.com/mcp",12 "evaluationSet": {13 "schema": "mcp-proof/evaluation-set/1",14 "name": "my-smoke-set",15 "version": "1.0.0",16 "expectedTools": [17 "lookup_zip"18 ],19 "cases": [20 {21 "id": "zip-97201-portland",22 "tool": "lookup_zip",23 "arguments": {24 "zip": "97201"25 },26 "expect": {27 "kind": "textContainsAll",28 "values": [29 "Portland"30 ]31 }32 }33 ]34 }35};36
37// Run the Actor and wait for it to finish38const run = await client.actor("savagnic/mcp-proof").call(input);39
40// Fetch and print Actor results from the run's dataset (if any)41console.log('Results from dataset');42console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);43const { items } = await client.dataset(run.defaultDatasetId).listItems();44items.forEach((item) => {45 console.dir(item);46});47
48// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use MCP Proof: Bounded MCP Evaluation API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: