This project provides a server for running end-to-end (E2E) tests to automate the validation of AI-generated code. It integrates with various AI agents and offers a debugging tool.
This project provides a server for running end-to-end (E2E) tests to automate the validation of AI-generated code. It integrates with various AI agents and offers a debugging tool.
Set up a virtual environment, install required packages, and add your LLM API key.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"e2e-mcp-server": {
"command": "npx",
"args": [
"-y",
"Set up a virtual environment, install required packages, and add your LLM API key."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from E2E MCP Server?"
No configuration required. This server works out of the box.
"What resources are available in E2E MCP Server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in E2E MCP Server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in E2E MCP Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.