# Mcp Validator (`rocketagro/mcp-validator`) Actor **MCP Validator** is a professional validation and compliance testing tool for [Model Context Protocol (MCP)](https://modelcontextprotocol.io) servers. It ensures your MCP server’s **tools, resources, prompts, and templates** are correct, compliant, and production-ready. - **URL**: https://apify.com/rocketagro/mcp-validator.md - **Developed by:** [Jahid Hasan](https://apify.com/rocketagro) (community) - **Categories:** Automation, Developer tools, MCP servers - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. 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). # README ## MCP Validator **MCP Validator** is a professional validation and compliance testing tool for [Model Context Protocol (MCP)](https://modelcontextprotocol.io) servers. It ensures your MCP server’s **tools, resources, prompts, and templates** are correct, compliant, and production-ready. ✅ Run it directly on [Apify](https://apify.com) – no setup, no infrastructure. ✅ Get **structured validation reports** you can share with your team or integrate into workflows. ✅ Catch schema errors, protocol issues, and performance bottlenecks before they hit production. --- ### 🚀 Why Choose MCP Validator? If you’re building an MCP server, you need confidence that it: - Correctly exposes **tools**, **resources**, **prompts**, and **templates**. - Accepts valid inputs and rejects invalid ones with proper errors. - Returns data in the **right schema format** every time. - Stays reliable and responsive in production environments. 👉 **MCP Validator does all this for you automatically.** No manual testing. No guesswork. Just clear reports you can trust. --- ### ✨ Key Features - 🔍 **Automatic Discovery** – connect to your MCP server and fetch all exposed tools, resources, and prompts. - 🛠 **Tool Validation** – validate input/output schemas, run sample calls, and verify error handling. - 📚 **Resource Validation** (...upcoming) – test resource reads, pagination, and schema compliance. - 📝 **Prompt & Template Checks** (...upcoming) – validate placeholders, substitutions, and template structure. - 📊 **Structured Reports** – detailed JSON/CSV outputs for compliance or CI/CD use. --- The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page. ### 📊 MCP Server Config Example sse server ```json { "type": "sse", "url": "https://mcp.api.coingecko.com/sse" } ```` mcp server ```json { "type": "httpStream", "url": "http://mcp.api.coingecko.com" } ``` stdio server ```json { "type": "stdio", "options": { "command": "python3", "args": ["app.py", "--port", 8080], "env": { "LOG_LEVEL": "info", "API_KEY": "my_secret_key" } } } ``` ### 📊 Auth Setup no auth setup ```json { "auth": { "type": "none" } } ``` basic auth setup ```json { "auth": { "type": "basic", "username": "basic_auth_user", "password": "basic_auth_password" } } ``` Bearar api\_token auth setup ```json { "auth": { "type": "token", "token": "huze_api_token" } } ``` ### 📊 Test Tool Calls no schema validation ```json { "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": false, "validate_output_schema": false, "match_output_data": false } } ] } ``` input and output schema validation ```json { "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": true, "validate_output_schema": true, "match_output_data": false }, "input_schema": {}, "output_schema": {} } ] } ``` output object matcher ```json { "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": false, "validate_output_schema": false, "match_output_data": true }, "expected_output": {} } ] } ``` ### 📊 Example Report Output ```js { metadata: { validator_version: 'v0.1', timestamp: '2025-10-06T14:39:24.164Z', server_type: 'sse', server_url: 'https://mcp.api.coingecko.com/sse', latency: 118, overall_status: 'PASS' }, summary: { total_tools: 46, total_resources: 0, total_prompts: 0, total_templates: 0, warnings: 0, passed: 0, failed: 0 }, lists: { tools: [ 'get_asset_platforms', 'get_id_coins', 'get_list_coins_categories', 'get_new_coins_list', 'get_coins_markets', 'get_coins_top_gainers_losers' ], resources: [], prompts: [], templates: [] }, tools: [ { name: 'translate_text', status: 'PASS', schema_validation: [Object], test_cases: [Object], errors: {} } ], errors: [] } ``` *** ### ⚡ How It Works - **Deploy MCP Validator** from [Apify Marketplace](https://apify.com/) - **Provide your MCP server URL and optional test cases**. - The validator connects, discovers tools/resources/prompts, and runs validation checks. - Get a **structured report** (JSON/CSV/text) with pass/fail results. *** ### 💡 Use Cases - ✅ **Developers** – catch schema errors before deployment. - ✅ **QA Teams** – validate compliance across staging & production. - ✅ **Enterprises** – ensure reliable MCP integrations at scale. - ✅ **Audits & Compliance** – provide proof your server matches MCP spec. *** ### 🛠 Plans & Availability - **Flat $10/Month Coffee Bill** → Run ad-hoc validations, view JSON/CSV reports. Available exclusively on [Apify Marketplace](https://apify.com/). *** ### 📞 Support Need help or a custom feature? 📧 Contact us at [support@mcp-validator.com](mailto://support@mcp-validator.com) (or via Apify support). # Actor input Schema ## `type` (type: `string`): Select the type of stream for processing. ## `url` (type: `string`): The URL to process or use. ## `options` (type: `object`): A set of configuration options for stdio. ## `auth` (type: `object`): Configuration for authentication, including tokens and credentials. ## `testCases` (type: `array`): A list of test case objects. ## Actor input object example ```json { "type": "sse", "url": "https://mcp.api.coingecko.com/sse", "options": { "command": "python3", "args": [ "app.py", "--port", 8080 ], "env": { "LOG_LEVEL": "info", "API_KEY": "my_secret_key" } }, "auth": { "type": "none", "token": "server_token_123", "username": "server_user", "password": "server_pass", "headers": { "Authorization": "Bearer ${token}", "X-API-Key": "token" } }, "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": false, "validate_output_schema": false, "match_output_data": false }, "input_schema": {}, "output_schema": {}, "expected_output": {} } ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "type": "sse", "url": "https://mcp.api.coingecko.com/sse", "options": { "command": "python3", "args": [ "app.py", "--port", 8080 ], "env": { "LOG_LEVEL": "info", "API_KEY": "my_secret_key" } }, "auth": { "type": "none", "token": "server_token_123", "username": "server_user", "password": "server_pass", "headers": { "Authorization": "Bearer ${token}", "X-API-Key": "token" } }, "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": false, "validate_output_schema": false, "match_output_data": false }, "input_schema": {}, "output_schema": {}, "expected_output": {} } ] }; // Run the Actor and wait for it to finish const run = await client.actor("rocketagro/mcp-validator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "type": "sse", "url": "https://mcp.api.coingecko.com/sse", "options": { "command": "python3", "args": [ "app.py", "--port", 8080, ], "env": { "LOG_LEVEL": "info", "API_KEY": "my_secret_key", }, }, "auth": { "type": "none", "token": "server_token_123", "username": "server_user", "password": "server_pass", "headers": { "Authorization": "Bearer ${token}", "X-API-Key": "token", }, }, "testCases": [{ "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": False, "validate_output_schema": False, "match_output_data": False, }, "input_schema": {}, "output_schema": {}, "expected_output": {}, }], } # Run the Actor and wait for it to finish run = client.actor("rocketagro/mcp-validator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "type": "sse", "url": "https://mcp.api.coingecko.com/sse", "options": { "command": "python3", "args": [ "app.py", "--port", 8080 ], "env": { "LOG_LEVEL": "info", "API_KEY": "my_secret_key" } }, "auth": { "type": "none", "token": "server_token_123", "username": "server_user", "password": "server_pass", "headers": { "Authorization": "Bearer ${token}", "X-API-Key": "token" } }, "testCases": [ { "name": "get_new_coins_list", "arguments": {}, "actions": { "validate_input_schema": false, "validate_output_schema": false, "match_output_data": false }, "input_schema": {}, "output_schema": {}, "expected_output": {} } ] }' | apify call rocketagro/mcp-validator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rocketagro/mcp-validator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mcp Validator", "description": "**MCP Validator** is a professional validation and compliance testing tool for [Model Context Protocol (MCP)](https://modelcontextprotocol.io) servers. It ensures your MCP server’s **tools, resources, prompts, and templates** are correct, compliant, and production-ready.", "version": "0.1", "x-build-id": "mo51KNygvEPK1J2RQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rocketagro~mcp-validator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rocketagro-mcp-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rocketagro~mcp-validator/runs": { "post": { "operationId": "runs-sync-rocketagro-mcp-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rocketagro~mcp-validator/run-sync": { "post": { "operationId": "run-sync-rocketagro-mcp-validator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "type", "auth", "testCases" ], "properties": { "type": { "title": "Type of Stream", "enum": [ "httpStream", "stdio", "sse" ], "type": "string", "description": "Select the type of stream for processing." }, "url": { "title": "URL", "type": "string", "description": "The URL to process or use." }, "options": { "title": "Configuration Options", "type": "object", "description": "A set of configuration options for stdio." }, "auth": { "title": "Authentication Configuration", "type": "object", "description": "Configuration for authentication, including tokens and credentials." }, "testCases": { "title": "Test Cases", "type": "array", "description": "A list of test case objects." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```