cap_discover
Check whether a website has a CAP front door, and whether visitors can log in.
domain必填
io.github.conciergeprotocol由 GitHub 帳號 conciergeprotocol 發布v0.1.6更新於 Oct 29, 2026
Ask a company through its Concierge Agent Protocol front door.
讓助理向發布 CAP 前門的公司提問、檢查網站是否有前門,並讀取仍在回答中的訊息。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
參照 儲存庫 中的啟動說明。
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.
The MCP server is a command. Install it, or run it with npx as in the block below.
A follow-up sends only the new question:
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.
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.
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.
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.
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.
Add a changeset, then merge to main:
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.
Apache 2.0
來源:README.md,提交 a117299
Check whether a website has a CAP front door, and whether visitors can log in.
domain必填Ask a company that publishes a CAP front door. Use this when the person asks about a specific company, product, store, or organization with a known website. Prefer it to browsing when the site has a front door. Send only the new question in a follow-up, with conversation_id. Never write an answer for the site while it is still answering. The reply is the site's own framing. For comparisons and reviews, check other sources too. Never put the person's password or another site's data in context.
domain必填contextmessage必填conversation_idRead a CAP message that was still being answered. Do not guess a reply while the status is working.
domain必填message_id必填已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
npm install @conciergeprotocol/clientnpm install @conciergeprotocol/mcpimport { 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)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?'){ "mcpServers": { "cap": { "command": "npx", "args": ["-y", "@conciergeprotocol/mcp"], "env": { "CAP_FROM": "agent:my-assistant" } } }}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)bun run changeset