Google Search Console integration for Model Context Protocol (MCP)
Enpitech is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
AgentReady website scans for AI agents, AI Hub search, newsletter and contact, from Enpitech.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http enpitech-mcp https://mcp.enpitech.dev/mcp-app
# 2 — ask your agent for something these tools do
# contact_form, submit_contact, agent_ready and 5 more
Enpitech costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http enpitech-mcp https://mcp.enpitech.dev/mcp-appReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 e
| Parameter | Type | Required | Notes |
|---|---|---|---|
| origin | string | no | Which contact surface to open the form in, inferred from the conversation. Omit when unsure; it defaults to general. general = the user wants senior React engineers embedded in their team, a web produ |
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; contac
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | — |
| string | yes | — | |
| phone | no | — | |
| companyName | no | — | |
| message | string | yes | — |
| origin | string | no | Which contact surface to open the form in, inferred from the conversation. Omit when unsure; it defaults to general. general = the user wants senior React engineers embedded in their team, a web produ |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | no | The site to scan, as the user gave it. A bare hostname like stripe.com is fine; the scanner normalizes it. Omit when the user has not named a site, and they will be asked for one. |
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 th
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | — |
| string | yes | — | |
| phone | string | no | — |
| companyName | string | no | — |
| url | string | no | — |
| score | string | no | — |
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. W
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | The site to scan. A bare hostname like stripe.com works. |
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, Figma to code, testing, context files, generative UI and so on), or asks what the AI Hub has. Retur
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | What to look for, in plain words: a task, a technology or a name, e.g. "code review", "Figma to React", "MCP servers for React". Omit to list the catalog in order. |
| category | string | no | Limit results to one part of the catalog: skills (Claude Code and Agent Skills), tools (MCP servers and AI tooling) or workflows (agentic workflows and prompts). Omit to search all three. |
| limit | integer | no | How many results to return, 1-20 (default 8). |
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.
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| string | yes | The email address the user typed into the signup form. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Enpitech or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.1.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Enpitech can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.