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Enpitech

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

v1.1.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality83good
Trust97of 100
Uptime, 30 days100%
Latency p50399 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "enpitech": {
      "type": "http",
      "url": "https://mcp.enpitech.dev/mcp-app"
    }
  }
}
claude mcp add --transport http enpitech https://mcp.enpitech.dev/mcp-app
[mcp_servers.enpitech]
url = "https://mcp.enpitech.dev/mcp-app"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "enpitech": {
      "type": "remote",
      "url": "https://mcp.enpitech.dev/mcp-app",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "enpitech": {
      "type": "http",
      "url": "https://mcp.enpitech.dev/mcp-app"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=enpitech&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmVucGl0ZWNoLmRldi9tY3AtYXBwIn0%3D"
}
{
  "servers": {
    "enpitech": {
      "type": "http",
      "url": "https://mcp.enpitech.dev/mcp-app"
    }
  }
}
{
  "mcpServers": {
    "enpitech": {
      "httpUrl": "https://mcp.enpitech.dev/mcp-app"
    }
  }
}
extensions:
  "enpitech":
    enabled: true
    name: "enpitech"
    type: streamable_http
    uri: "https://mcp.enpitech.dev/mcp-app"
    timeout: 300

Quality 83 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene93 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations8 of 8 tools declare readOnlyHint or destructiveHint
  • warn
    tools.directory_hints3 of 8 tools declare all four hints; missing: agent_ready (idempotentHint); agentready_scan (idempotentHint); ai_hub_search (idempotentHint); …
  • pass
    tools.token_costabout 2,699 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
  • warn
    stability.changes11 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

8 tools, about 2,699 tokens to load them all · tool set 8a6112e8fb0a · tools last changed 2026-09-26 · checked 2026-10-20 15:57 UTC

Tool changes

  • subscribe_newsletterchangedoutput schema
  • newsletterchangedoutput schema
  • ai_hub_searchchangedoutput schema
  • agentready_scanchangedoutput schema
  • email_agentready_reportchangedoutput schema
  • agent_readychangedoutput schema
  • submit_contactchangedoutput schema
  • contact_formchangedoutput schema
  • subscribe_newsletteradded

    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.

  • newsletteradded

    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.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 97 / 100

provenance90
liveness100
freshness100
hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-24d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.enpitech.dev/mcp-app streamable-httpnoneyes100%399 ms2025-11-252026-10-20

Tools (8)

agent_readyread-onlyOpens 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.
agentready_scanread-onlyRuns 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.
ai_hub_searchread-onlySearches 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. Returns matching items with a one-line take, an overview, the install command when there is one, and a link to the item's page on enpitech.dev. Read-only: it searches a published catalog and sends nothing anywhere.
contact_formread-onlyOpens 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.
email_agentready_reportdestructiveEmails 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.
newsletterread-onlyOpens 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.
submit_contactSends 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.
subscribe_newsletterSubscribes 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.

Schemas: list_tools.

Official server.json
{
  "name": "io.github.enpitech/enpitech",
  "title": "Enpitech",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.enpitech.dev/mcp-app",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/enpitech/enpitech.dev",
    "source": "github",
    "subfolder": "mcp"
  },
  "websiteUrl": "https://enpitech.dev",
  "description": "AgentReady website scans for AI agents, AI Hub search, newsletter and contact, from Enpitech."
}