Allows AI clients to interact with companies through a standardized protocol front door using discovery and questioning tools.
Also known as conciergeprotocol/js, js, @conciergeprotocol/mcp
- Stars
- 1
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- —
- Downloads, 30 days
- 1,646
- Latest version
- 0.2.1
- Last commit
- Nov 13, 2026
- License
- Apache-2.0
What is Concierge Agent Protocol MCP?
Concierge Agent Protocol allows AI clients to interact with companies through a standardized protocol front door using discovery and questioning tools.
Summary generated from the project's README
About Concierge Agent Protocol MCP server
Concierge Agent Protocol provides a standardized way for AI clients to communicate with companies through a controlled front door. Developers can use the @conciergeprotocol/mcp package to expose this functionality to hosts like Claude, Cursor, or VS Code. By configuring the server via npx and setting a CAP_FROM environment variable, an AI assistant gains access to specific tools to interact with external organizations without needing direct access to their internal MCP servers.
The protocol uses three primary tools: cap_discover, cap_ask, and cap_check. When an AI client uses cap_ask, it waits up to 60 seconds for a response. If a company is still processing a request, the client uses cap_check to monitor the status. For companies building their own interface, the @conciergeprotocol/agent package can generate an answer function using an llms.txt file and a model like anthropic/claude-sonnet-4.5. This setup ensures that companies can manage message caps and keep individual conversation threads private.
What you can do with it
- 1Discover company availabilityAn AI client can check if a specific website has a standardized protocol front door available for interaction.
- 2Query company informationA developer can instruct an AI to ask a company specific questions about their products or pricing plans.
- 3Monitor long-running responsesIf a company takes time to respond, the AI client can use a specific tool to check if the answer is ready.
Written from the project's README. Every use case is checked against a quote from it.
How to install Concierge Agent Protocol MCP
Formats verified 10 Nov 2026Install Concierge Agent Protocol MCP in Claude Code
$ claude mcp add js -- npx -y @conciergeprotocol/mcpInstall Concierge Agent Protocol MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"js": {
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
]
}
}
}Install Concierge Agent Protocol MCP in VS Code
.vscode/mcp.json
{
"servers": {
"js": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
]
}
}
}Install Concierge Agent Protocol MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"js": {
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
]
}
}
}Install Concierge Agent Protocol MCP in Codex
~/.codex/config.toml
[mcp_servers.js] command = "npx" args = ["-y", "@conciergeprotocol/mcp"]
Install Concierge Agent Protocol MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"js": {
"command": "npx",
"args": [
"-y",
"@conciergeprotocol/mcp"
]
}
}
}Configuration
CAP_FROMCaller identity, like agent:my-assistant. Defaults to agent:cap-mcp.
| Name | Description | |
|---|---|---|
| CAP_FROM | Caller identity, like agent:my-assistant. Defaults to agent:cap-mcp. |
Automated checks
Ran Nov 14, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachableconciergeprotocol/js is public and reachablegithub.com/conciergeprotocol/js ↗Pass
- Package names this repository as its source@conciergeprotocol/mcp names conciergeprotocol/js as sourcenpmjs.com/package/@conciergeprotocol/mcp ↗Pass
- Build provenance (Sigstore attestation)No build attestation published for this releaseNot checked
- Open source license (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-11-12github.com/conciergeprotocol/js ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNo popular package one edit away from @conciergeprotocol/mcpPass
- No critical advisory in the package or its dependenciesthe package checked; no critical advisoryosv.dev ↗Pass
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeNot checked
README
View on GitHubConcierge 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
Concierge Agent Protocol MCP questions
How do I add Concierge Agent Protocol MCP to Claude Code?
Run claude mcp add js -- npx -y @conciergeprotocol/mcp in your terminal. Add --scope user to make it available in every project.
How do I add Concierge Agent Protocol MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What tools does the MCP server provide?
The server provides three specific tools: cap_discover, cap_ask, and cap_check.
How does the protocol handle long-running company responses?
If a company is still processing an answer, the tool returns a message ID, and the model should then use the cap_check tool instead of guessing.
Can I use my own existing bot with this protocol?
Yes, companies with existing bots can skip the agent package and provide their own answer function.
How are account-specific questions handled?
Account questions use a login process where the client opens the company's page and stores the resulting token for future questions.