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Concierge Agent Protocol

by conciergeprotocolversion 0.1.6i★ –iRuns on your computer
Registry nameio.github.conciergeprotocol/mcp

Install

Overview

Description from the maker (original English)

Ask a company through its Concierge Agent Protocol front door.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CAP_FROM

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "conciergeprotocol": {
      "command": "npx",
      "args": [
        "-y",
        "@conciergeprotocol/mcp"
      ],
      "env": {
        "CAP_FROM": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add conciergeprotocol --env CAP_FROM=your-value -- npx -y @conciergeprotocol/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "conciergeprotocol": {
      "command": "npx",
      "args": [
        "-y",
        "@conciergeprotocol/mcp"
      ],
      "env": {
        "CAP_FROM": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "conciergeprotocol": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@conciergeprotocol/mcp"
      ],
      "env": {
        "CAP_FROM": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • CAP_FROM env
    Caller identity, like agent:my-assistant. Defaults to agent:cap-mcp.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account conciergeprotocol, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32398 servers in this category
  • Published to the registry more recently than 73% of the other 32398 servers in this category
  • Basic checks equal to or better than 100% of the other 32398 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Concierge Agent Protocol safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AI Deprecations

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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AI Deprecations

by aideprecations.com

AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.

Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Concierge Agent Protocol for JavaScript

Packages for both sides of a CAP front door. @conciergeprotocol/client calls a door. @conciergeprotocol/mcp exposes that client as three tools, so Claude, Cursor, and other MCP hosts can ask a company. @conciergeprotocol/server runs a door from one answer function. @conciergeprotocol/agent builds that function from a model, an llms.txt file, and MCP tools.

The protocol is at conciergeprotocol.org. A company publishes agent.txt. It does not publish an MCP server for visitors. An MCP server, when there is one, stays behind the door.

Install

npm install @conciergeprotocol/client

The MCP server is a command. Install it, or run it with npx as in the block below.

npm install @conciergeprotocol/mcp

Client

import { createClient } from '@conciergeprotocol/client'

const cap = createClient({ from: 'agent:my-assistant' })

const answer = await cap.ask('example.com', 'Do you have a free plan?') console.log(answer.reply)

A follow-up sends only the new question:

const thread = cap.thread('example.com')

await thread.ask('What do you sell?') const price = await thread.ask('How much is the cheapest paid plan?')

discover returns null when a site has no front door. ask throws NoDoorError for the same case, which is the signal to browse the site instead.

ask waits up to two minutes. If the company is still answering, the message comes back with status: 'working' and no reply. get reads it again.

Account questions use login. The client opens the company's page, and finishLogin stores the token for the next ask. The token stays in the token store you pass to createClient.

MCP

Cursor, Claude Desktop, and VS Code use the same block. In VS Code it goes in .vscode/mcp.json. In Cursor and Claude Desktop it goes in the MCP settings file.

{

"mcpServers": { "cap": { "command": "npx", "args": ["-y", "@conciergeprotocol/mcp"], "env": { "CAP_FROM": "agent:my-assistant" } } } }

CAP_FROM defaults to agent:cap-mcp. The tools are cap_discover, cap_ask, and cap_check. The server is listed in the MCP registry as io.github.conciergeprotocol/mcp. cap_ask waits 60 seconds. If the company is still answering, it returns the message id and the model calls cap_check instead of guessing.

Run a door

answer is the company's own function. The server keeps the thread, hides one caller's reply from another, and enforces the daily message cap.

import { createAnswer } from '@conciergeprotocol/agent'

import { createCapServer } from '@conciergeprotocol/server'

const answer = await createAnswer({ model: 'anthropic/claude-sonnet-4.5', instructions: 'You answer for Harbor Goods. Link to the page.', sources: [{ type: 'llms', url: 'https://harborgoods.example/llms.txt' }], })

const cap = await createCapServer({ agent: { name: 'Harbor Goods', chat: 'https://harborgoods.example/chat' }, answer, })

await cap.listen(8088)

A company that already has a bot can skip the agent package and pass its own answer. npx cap-check http://127.0.0.1:8088 reads agent.txt, asks one question, and checks that a second caller cannot read the reply.

Release

Add a changeset, then merge to main:

bun run changeset

Package Checks runs on every push. When it passes on main, the publish workflow opens a version pull request, or publishes both packages and tags the release. The two packages stay on one version. When the npm publish succeeds, the same workflow lists the server in the MCP registry. The repository needs an NPM_TOKEN secret.

License

Apache 2.0

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