AutoSpectra MCP Server
Supports OpenAI's ChatGPT and GPT models for automated web tasks and API testing via MCP tools.
Enables Perplexity AI to carry out browser operations, API requests, and debugging using the MCP server.
Click on "Install 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., "@AutoSpectra MCP Servernavigate to example.com and take a screenshot"
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.
AutoSpectra MCP Server
AutoSpectra is a comprehensive MCP (Model Context Protocol) server that provides complete automation and testing capabilities for any AI agent. From browser automation and API testing to debugging tools and mock services, AutoSpectra offers a full suite of tools that integrate seamlessly with any MCP-compatible system, including but not limited to Claude, ChatGPT, Gemini, and Perplexity.
Features
๐ Browser Automation: Navigate, click, type, extract data, and take screenshots
๐ API Testing Tools: Make HTTP/GraphQL requests, validate schemas, create mock APIs
๐งช Testing Framework: End-to-end testing, accessibility testing, and visual validation
๐ Debugging Capabilities: Interactive debug sessions with step-by-step execution
๐ค AI Agent Compatibility: Works with any AI agent supporting the MCP protocol
๐๏ธ Visible Browser Mode: Debug with visible browsers or run headless for efficiency
๐ Self-Healing Selectors: Robust element selection that adapts to changes
๐ป Claude Computer Use: Integration with Anthropic's Claude computer capabilities
Installation
# Clone the repository
git clone https://github.com/your-username/autospectra-mcp-server.git
cd autospectra-mcp-server
# Install dependencies
npm install
# Build the project
npm run buildEnvironment Setup
Create a .env file in the root directory with the following variables:
# Server configuration
PORT=3000
DEBUG=true
HTTP_SERVER=true
# API Keys
ANTHROPIC_API_KEY=your-anthropic-api-key
# Playwright configuration
HEADLESS=false
SLOW_MO=50
# Output directory
OUTPUT_DIR=./outputUsage
Starting the Server
# Start the server
npm start
# Or start in development mode
npm run devUsing the MCP Tools
AutoSpectra provides a wide range of automation tools that can be used through the MCP protocol:
Browser Automation
// Navigate to a URL with visible browser
await use_mcp_tool({
server_name: "autospectra",
tool_name: "navigate",
arguments: {
url: "https://example.com",
visible: true
}
});
// Click on an element with selector
await use_mcp_tool({
server_name: "autospectra",
tool_name: "click",
arguments: {
selector: "#login-button"
}
});API Testing
// Make an HTTP request
await use_mcp_tool({
server_name: "autospectra",
tool_name: "api_request",
arguments: {
method: "GET",
url: "https://api.example.com/users/1",
headers: {
"Accept": "application/json"
}
}
});
// Validate an API response against a schema
await use_mcp_tool({
server_name: "autospectra",
tool_name: "validate_schema",
arguments: {
response: responseData,
schema: {
type: "object",
required: ["id", "name", "email"],
properties: {
id: { type: "number" },
name: { type: "string" },
email: { type: "string", format: "email" }
}
}
}
});Interactive Debugging
// Create a debug test session
await use_mcp_tool({
server_name: "autospectra",
tool_name: "debug_test",
arguments: {
testName: "login-flow",
testScript: `
step('step1', 'navigate', { url: 'https://example.com/login' });
step('step2', 'type', { selector: '#username', text: 'testuser' });
step('step3', 'click', { selector: '#login-button' });
`,
breakAt: ['step3'],
runImmediately: true
}
});For complete documentation of all available tools and their parameters, see:
Documentation
AutoSpectra provides comprehensive documentation of its tooling capabilities:
Tools Documentation Index - Overview and index of all tools documentation
Current Tools List - Complete reference of all currently available tools with parameters and examples
Future Tool Enhancements - Roadmap of planned enhancements and missing tools
Project Structure
autospectra-mcp-server/
โโโ docs/ # Documentation
โ โโโ guides/ # User and developer guides
โ โโโ api/ # API documentation
โ โโโ examples/ # Example usage
โโโ scripts/ # Utility and helper scripts
โโโ src/ # Source code
โ โโโ automation/ # Browser automation
โ โโโ computerUse/ # Claude computer use integration
โ โโโ frameworks/ # Test framework integration
โ โโโ nlp/ # NLP functionality
โ โโโ server/ # Server-specific code
โ โโโ utils/ # Utilities
โโโ tests/ # Test files
โ โโโ integration/ # Integration tests
โ โโโ unit/ # Unit tests
โ โโโ e2e/ # End-to-end testsIntegration with AI Agents
AutoSpectra seamlessly integrates with any AI agent supporting the MCP protocol:
Universal Compatibility: Works with Claude, ChatGPT, Gemini, Perplexity, and more
Advanced Capabilities: Access specialized features like Claude's Computer Use
Flexible Workflows: Combine local and cloud-based automation
See the AI Integration Guide for more information.
Platform Integrations
AutoSpectra works with various AI platforms and development environments:
Claude Desktop/Cloud: Enhanced automation with Computer Use capabilities
VS Code Extensions: Seamless integration with development workflows
ChatGPT & OpenAI: Full support for GPT-based assistants
Gemini & Other Models: Compatible with all major AI platforms
See the Platform Integration Guide for more information.
Docker Support
# Build the Docker image
npm run docker:build
# Run with Docker
npm run docker:runTesting
# Run all tests
npm run test:all
# Run specific tests
npm run test:accessibility
npm run test:computer-use
npm run test:e2eContributing
Contributions are welcome! Please see CONTRIBUTING.md for more information.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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