SingChat

org.singchat由 singchat.org 發布官方發布者v0.2.0更新於 Oct 24, 2026

Free live chat and AI support agent. Auto-create a workspace and embed from your AI editor.

已驗證Streamable HTTP可網頁執行溝通與協作商業與電商

概覽

AI 產生的概覽

SingChat 的遠端 MCP 端點,提供免費即時聊天與 AI 客服代理,並可從 AI 編輯器自動建立工作區與嵌入碼。

可以做什麼
SingChat 是透過 streamable HTTP 存取的遠端 MCP 伺服器,位於其自有端點。根據登錄描述,它提供免費即時聊天與 AI 客服代理,並可從你的 AI 編輯器自動建立工作區與嵌入碼。清單中未列出具體工具,因此這裡無法說明它實際暴露的操作。
適用情境
當你希望助理架設或管理即時聊天與 AI 客服,例如不離開編輯器就建立工作區並產生嵌入碼時,可以考慮使用。如果你需要在安裝前看到有文件的工具層級 API,它就不太合適。
執行需求
支援 streamable HTTP 的遠端 MCP 用戶端,以及連線至該供應商端點的網路存取。清單未宣告任何套件、身分驗證、環境變數或標頭,因此沒有其他必要項目的說明。
安裝前請注意
清單未宣告任何身分驗證,因此任何能連上該端點的人都可能使用它;它建立的工作區或嵌入碼應視為可能被他人存取。描述提到建立工作區與嵌入碼,這些是會在供應商端變更資料的寫入操作。現有輸入未說明任何憑證、付款或第三方資料流向。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 SingChat,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/org.singchat%2Fsingchat/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "singchat": {
      "type": "http",
      "url": "https://mcp.singchat.org/"
    }
  }
}

工具

17

ping

Ping

Health check for the SingChat MCP server. Returns 'pong' and whether this request is authenticated to a workspace.

無需輸入參數。

singchat_setup

Set up SingChat

Get the user up and running with SingChat live-chat. Call this FIRST. If no authenticated workspace is configured, this creates a brand-new free workspace and returns a short-lived, single-use browser claim link plus the website embed snippet. The user chooses their own sign-in details in the browser; no reusable credentials are returned to the model. If a workspace is already authenticated, it returns THIS workspace's embed snippet and dashboard link (it never creates a duplicate workspace).

輸入參數name

get_embed_snippet

Get widget embed snippet

Return the SingChat chat-widget embed code for this workspace's web inbox, in three flavors: plain HTML, React (useEffect), and Next.js (next/script). Requires a workspace API key. Optionally pass `platform` to get just one flavor.

輸入參數platform

claim_account

Claim SingChat account

Return the link to claim (permanently secure) this SingChat workspace by setting an email and password. Use this for workspaces that were auto-created via MCP so the user does not lose access. The link is single-use and expires after 15 minutes. Requires an authenticated legacy workspace.

無需輸入參數。

list_conversations

List conversations

List the workspace's support conversations (agent/inbox view), newest activity first. Optionally filter by status or a free-text search over the contact name/email and last message. Returns a compact list: id, contact name, status, unreadCount, last message preview, updatedAt.

輸入參數limitsearchstatus

get_conversation

Get conversation

Fetch a single conversation with its contact details and the most recent messages (oldest→newest).

輸入參數conversationId必填

reply_to_conversation

Reply to conversation

Send an agent reply through a supported SingChat real-time inbox. This takes the conversation over from the AI and broadcasts the message to the visitor and agent inbox. Email, Telegram, and WhatsApp conversations are rejected before any change.

輸入參數content必填conversationId必填

resolve_conversation

Resolve conversation

Mark a conversation as RESOLVED (closes it). The visitor's widget will no longer show it as active.

輸入參數conversationId必填

add_knowledge

Add knowledge

Train the AI agent by adding a knowledge source. type='url' crawls a website (up to 50 pages, fewer when the workspace knowledge-base quota is nearly full); type='qa' stores a single question/answer pair. Ingestion is asynchronous, the source starts as PENDING; poll `list_knowledge` for READY status.

輸入參數urltype必填answerquestion

list_knowledge

List knowledge

List all knowledge documents for this workspace with their processing status (PENDING | PROCESSING | READY | FAILED) and chunk counts. Use this to check whether items added via add_knowledge have finished training.

無需輸入參數。

search_knowledge

Search knowledge

Semantic search over the workspace knowledge base. Returns the most relevant chunks (with source document title and similarity score) for a query. Only searches documents that have finished training (status READY).

輸入參數topKquery必填

configure_agent

Configure AI agent

Configure this workspace's AI support agent. All fields are optional, only the fields you pass are updated; the rest keep their current values. Call with no fields to just read back the current configuration. Does not touch or return any API keys.

輸入參數modelenabledproviderModesystemPromptgreetingMessage

set_keywords

Add keyword auto-reply

Add a keyword auto-reply rule: when an inbound message matches any of the keywords, the bot replies with the given text. Good for canned FAQ-style triggers (e.g. keyword 'invoice' -> 'Download it from the billing page').

輸入參數reply必填keywords必填matchType

manage_faq

Manage FAQ

List, create, update, or delete this workspace's FAQ items (shown in the chat widget and usable by the AI agent). Set `action` to 'list' | 'create' | 'update' | 'delete'. 'create' needs `question` + `answer`; 'update' and 'delete' need `id`.

輸入參數idaction必填answerenabledquestion

get_analytics

Get Analytics

Return a compact analytics summary for this workspace over the last `days` days (default 30): conversation counts + resolution rate, message volume + AI share, plus a live snapshot of today (UTC).

輸入參數days

fetch

Fetch

Fetch the full text of a single document by id, using an id returned by the search tool. With a workspace API key this reads a knowledge document from that workspace; without a key it reads a SingChat help article. Returns id, title, text, url, and optional metadata.

輸入參數id必填

版本歷史

1
  1. v0.2.0最新Sep 16, 2026

評分

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