Enpitech

io.github.enpitechPublished by GitHub account enpitechv1.1.0Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingDeveloper Tools

Overview

AI-generated overview

Enpitech's remote MCP server lets an assistant scan websites for AI-agent readiness, search its AI tool catalog, and open contact and newsletter forms.

What you can do
Scan a site for agent readiness, returning a 0-100 score across 21 checks in five categories, either as a raw result or in an interactive view with a full report by email option. Search the Enpitech AI Hub catalog of Claude Code skills, MCP servers, AI tools and agentic workflows for frontend teams. Open a contact form in the conversation and submit the enquiry as a sales lead. Open a newsletter signup form and subscribe the entered email address.
When to use it
Useful when someone wants to check how readable and actionable a website is for AI agents, look for frontend-oriented AI tools and workflows, or get in touch with or subscribe to Enpitech.
Requirements
A remote streamable HTTP endpoint at mcp.enpitech.dev; no packages, environment variables or headers are declared. The forms are filled in by the user in the conversation view.
Before you install
Submitting the contact form or the report form stores the name, email, phone and company as a sales lead in Enpitech's CRM; the newsletter signup sends the email to a Mailchimp-managed list. Scans fetch the target site's public pages, so the site address is sent to Enpitech.

Installation

In SourceWeft

  1. Open Enpitech in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.enpitech%2Fenpitech/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "enpitech": {
      "type": "http",
      "url": "https://mcp.enpitech.dev/mcp-app"
    }
  }
}

README

This repository has no README.

Tools

8

contact_form

Open 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 releases wait on; AI-generated frontend code their team cannot safely merge; senior React engineers embedded in a product team; AI features, an MCP app, or an agent-ready interface built into their product; private training for their team on AI-assisted frontend delivery or Claude Code; hosting, sponsoring or speaking at a frontend meetup. It opens a form and answers no questions. The tool itself sends nothing: it returns the contact surface the form opened on, and the enquiry is sent by submit_contact when the user submits.

Parametersorigin

submit_contact

Send Enquiry

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 given those details in the conversation. Every field carries a value the user actually supplied; contact_form opens the same form as a view for the user to fill in when a detail is missing.

ParametersnamerequiredemailrequiredphoneoriginmessagerequiredcompanyName

agent_ready

Check Agent Readiness

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-readiness score, the per-category breakdown, and the fixes ranked by the points each would recover. Use it when the user asks how ready a website is for AI agents, their own or any site they name: how readable, accessible or usable it is to AI, to agents or to AI crawlers; whether ChatGPT or Claude can read or use it; how to show up in AI answers; or for an audit of llms.txt, robots.txt, schema.org markup or MCP support. url is optional: with no URL the scanner opens with an empty input for the user to fill in. This tool returns only the URL it was opened with; the scan runs inside the view, via agentready_scan.

Parametersurl

email_agentready_report

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; it is not offered to the model. The scan is re-run server-side before the report is rendered, so the emailed report reflects the site at send time. Returns success with an emailed flag, which is false when the lead was stored but the email did not go out.

ParametersurlnamerequiredemailrequiredphonescorecompanyName

agentready_scan

Get AgentReady Results

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 per-category breakdown of every check, and the top fixes ranked by the points each would recover. When bot protection blocks too many checks the result carries limited: true and the headline score is not meaningful, though the per-check breakdown still is. When the scan does not run it returns ok: false with an errorType of invalid, unreachable, timeout or ratelimited. agent_ready runs this same scan and presents it as a visual report, so this tool fits the cases a view does not: the result is wanted as data, or several sites are being compared at once. The AgentReady view also calls this tool to run its own scan. Read-only: it fetches only public pages of the site named in the call and changes nothing on it.

Parametersurlrequired

newsletter

Open Newsletter Signup

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 subscription happens only when the user submits the form.

Takes no parameters.

subscribe_newsletter

Subscribe to 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 confirmation email was sent first. Every newsletter email carries an unsubscribe link.

Parametersemailrequired

Version history

2
  1. v1.1.0LatestSep 26, 2026
  2. v1.0.0Sep 26, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.