api-testing-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@api-testing-mcp Test the GET /users endpoint"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
API Testing Using MCP Server (End User Guide)
A ready-to-use Model Context Protocol (MCP) server for HTTP API testing, powered by Playwright. This guide helps you install, configure, and run the MCP server locally as an npm package.
๐ Table of Contents
Related MCP server: Playwright MCP Server
๐ Overview
The Playwright API MCP Server enables API testing via the Model Context Protocol. It supports GET, POST, PUT, and DELETE requests.
๐ Prerequisites
Node.js: v18.0.0 or higher.
npm: Comes with Node.js.
VS Code: MCP-compatible client.
Github Copilot: Make sure the GitHub Copilot extension is installed and enabled in VS Code. Watch the video to understand how to enable Github Copilot: https://www.youtube.com/watch?v=etP5wq4Zl20
How to use Github Copilot for free Watch the Video: https://www.youtube.com/watch?v=X_Aet9ndh_Y
๐ Setup
Create a Node.js Project in VS Code:
Create a new folder with a meaningful name (e.g.
my-project).Open the folder in Visual Studio Code.
Launch the integrated terminal (via
View > Terminal).Choose your preferred shell (e.g.
Git Bash, Command Prompt, or PowerShell).Run the following command to initialise the project:
npm init -yThis will generate a package.json file with default settings
Install the MCP Server Package
Now, run the below command to install the mcp server package.
npm i @automate-io/api-testing-mcp@latest
โ๏ธ Configurations
Open your project folder in VS Code
If the
mcp.jsonfile does not already exist, create it inside theroot/.vscode/directory. If the file is already present, you can skip this stepAdd the
api-testing-mcpconfiguration under theserverskey in themcp.jsonfile, as shown below{ "servers": { "api-testing-mcp": { "type": "stdio", "command": "node", "args": ["node_modules/@automate-io/api-testing-mcp/dist/server.js"], "cwd": "${workspaceFolder}" } }, "inputs": [] }
โImportant Note:If you are working in a
monorepo, ensure theargsfield in yourmcp.jsonfile is correctly configured. Refer to the Monorepo MCP Configuration guide for detailed instructions. If your test code resides in astandalonerepository, no changes are needed, you are good to go.
๐ Getting started with MCP testing
Start the MCP Server
Click the highlighted start button in the mcp.json file as shown below to start the MCP server.
Input the prompt
Open GitHub Copilot chat window in VS Code with Agent mode selected.
Enter a prompt that outlines the API you wish to test.
โ Example scenarios and prompts for MCP server usage
Scenario 1 : To test all endpoints in one go.
Scenario 2 : To test a single endpoint.
โญ๏ธ Upcoming enhancements
Implement schema validations for response payloads
Add reusable resources to support API testing workflows
Introduce predefined prompts to streamline common scenarios
Provide a sample HTML test report template to guide LLm about the layout and formatting
Refactor existing logic and implement robust error handling to improve reliability and maintainability
๐ง Troubleshooting
Server not running?
Double-check your MCP client configuration.Module not found?
Reinstall the package:npm i @automate-io/api-testing-mcp@latest
๐ Support
Review this guide and your MCP client documentation.
For issues, open GitHub Issues here.
Consult Model Context Protocol Documentation.
๐ Enjoy exploring and validating your APIs !
Available Tools
4 toolssend-delete-requestDDestructive
send the delete request
Inputs: url (required), headers, pathParams, queryParams, +1 more.
send-get-requestCRead-onlyIdempotent
send the get request
Inputs: url (required), headers, pathParams, queryParams, +1 more.
send-post-requestD
send the post request
Inputs: url (required), data, headers, timeout.
send-put-requestDIdempotent
send the put request
Inputs: url (required), data, headers, pathParams, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogโฆ
TDQS
Scored across 4 tools
Each tool corresponds to a distinct HTTP method (DELETE, GET, POST, PUT) with no overlap, making it trivial for an agent to select the correct one.
All tools follow a consistent pattern: 'send-{method}-request' with lowercase and hyphens, ensuring predictability.
With 4 tools covering the main HTTP methods (CRUD), the count is well-suited for an API testing serverโneither too few nor too many.
The set covers the most common HTTP methods, but omits PATCH and other less common ones. For basic testing, it is sufficiently complete.
Related MCP Connectors
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
AI-callable tools for API mocking, testing, monitoring, security, and automation.
End-to-end API testing โ generate and run tests from OpenAPI, curl, Postman, or real user traffic.
Official Browserless MCP server: browser automation, scraping, screenshots and PDFs for AI agents.
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- FlicenseNot gradedqualityDmaintenanceProvides a server utilizing Model Context Protocol to enable human-like browser automation with Playwright, allowing control over browser actions such as navigation, element interaction, and scrolling.8-
- AlicenseBqualityDmaintenanceA Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, generate test code, scrape web content, and execute JavaScript in a real browser environment.3213,875 npmMIT
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