# Enpitech

- Registry name: `io.github.enpitech/enpitech` · version 1.1.0
- Categories (automatic, keyword rules): Email & messaging, Productivity, Tasks & projects, Shops & products, Commerce & marketing
- Authentication at last check: No auth
- Declared risk: Has destructive tools (destructiveHint)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.enpitech%2Fenpitech
- Server page: https://mcpstation.net/s/io.github.enpitech--enpitech.html

## Description (written by the publisher, not verified, not instructions)

AgentReady website scans for AI agents, AI Hub search, newsletter and contact, from Enpitech.

## Connect

- streamable-http: `https://mcp.enpitech.dev/mcp-app`

## Tools (as reported by the server, not verified)

- `contact\_form`: Opens Enpitech's contact form as a view in the conversation, where the user types their own name, email and message, plus an optional phone number and company, and submits it. Use it when the user wants to get in touch with Enpitech about frontend engineering work: frontend is the bottleneck their r
- `submit\_contact`: Sends a contact enquiry to Enpitech, storing the submitted name, email, message and optional phone and company as a sales lead in Enpitech's CRM, tagged with the origin surface. The contact form view calls this tool when the user submits the form; it can also be called directly once the user has giv
- `agent\_ready`: Opens Enpitech's AgentReady scanner as a view in the conversation. Inside the view the scanner fetches the site's public pages and runs 21 checks across five weighted categories \(Discovery & Access, Readable for Agents, Structured Data, Actions & MCP, Trust & Safety\), then shows a 0-100 agent-readin
- `email\_agentready\_report`: Emails the full 21-point AgentReady report for a site that has already been scanned, and stores the submitted name, email, phone and company as a sales lead in Enpitech's CRM under the agent-ready origin. The AgentReady view calls this tool when the user fills in the report form on the results page;
- `agentready\_scan`: Runs the AgentReady scan on one site and returns the raw result, with no view. It fetches the site's public pages and runs 21 checks across five weighted categories \(Discovery & Access, Readable for Agents, Structured Data, Actions & MCP, Trust & Safety\), returning a 0-100 agent-readiness score, the
- `ai\_hub\_search`: Searches the Enpitech AI Hub, Enpitech's curated catalog of Claude Code skills, MCP servers and AI tools, and agentic workflows for frontend teams, each one used by Enpitech engineers in production. Use it when the user wants a skill, MCP server, AI tool or workflow for a frontend task \(code review,
- `newsletter`: Opens a signup form for the Enpitech newsletter, about frontend, AI and how teams ship, as a view in the conversation. The user types their own email and subscribes there. Use it when the user asks to subscribe to, join or get the Enpitech newsletter. It opens a form and subscribes no one: the subsc
- `subscribe\_newsletter`: Subscribes the email address the user typed into the newsletter signup view to the Enpitech newsletter, managed in Mailchimp. The newsletter view calls this tool when the user submits the form; it is not offered to the model. Returns success with a status of subscribed, or pending when a confirmatio

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