Elfsight AI Chatbot

com.elfsight由 elfsight.com 發布v1.0.1更新於 Oct 24, 2026

Read conversations, leads, knowledge base and analytics of your Elfsight AI Chatbot widgets.

發布方自己的服務:Elfsight

已驗證Streamable HTTP可網頁執行溝通與協作資料與分析商業與電商

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓助理讀取 Elfsight AI Chatbot 小工具的對話、潛在客戶、知識庫與分析資料,並可新增知識庫答案。

可以做什麼
  • 列出帳號下的 AI Chatbot 小工具,並取得最近 7、30 或 90 天的成效分析
  • 搜尋並讀取對話,包括單一對話中最近的數則訊息
  • 列出並篩選潛在客戶,聯絡欄位會被遮蔽
  • 搜尋知識庫,並列出訪客提出但助理無法回答的問題(知識缺口)
  • 新增知識庫答案以補上知識缺口
適用情境
適合在使用 Elfsight AI Chatbot 小工具時,讓助理彙整聊天機器人成效、檢視近期對話與潛在客戶,或找出並補齊知識庫缺口,而不必手動把資料貼進聊天視窗。
執行需求
遠端 Streamable HTTP 端點,不需在本機安裝或執行。需以 OAuth 登入 Elfsight 帳號(瀏覽器授權,無需 API 金鑰)。用戶端須支援具 OAuth、動態用戶端註冊與 PKCE 的遠端 MCP 伺服器。存取範圍僅限該帳號下的 AI Chatbot 小工具。
安裝前請注意
工具回傳的內容可能隨對話傳送給你的 AI 供應商,應視為可能含有個人資料;潛在客戶的姓名、電子郵件與電話會被遮蔽,但訪客自行輸入的其他聯絡方式不會。answer_knowledge_gap 會寫入知識庫。內部與測試對話不會被過濾。結果有筆數上限,並依帳號與用戶端限流。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Elfsight AI Chatbot,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 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/com.elfsight%2Fai-chatbot/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。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "elfsight-ai-chatbot": {
      "type": "http",
      "url": "https://mcp.elfchatbot.com/mcp"
    }
  }
}

README

Elfsight AI Chatbot — MCP Server

[Listed on mcpservers.org] [GitHub MCP Registry]

This repository holds the documentation and the registry manifest (server.json) of the Elfsight AI Chatbot MCP server. The server itself is hosted by Elfsight; there is nothing to build or run here. For help, contact Elfsight Help Center.

A remote Model Context Protocol server over your Elfsight AI Chatbot widget data. Point an MCP-capable AI agent at it and it can read your conversations, leads, knowledge base and analytics — and add answers to your knowledge base — without you copy-pasting anything into a chat window.

The server is account-scoped: once you sign in, the agent can reach every AI Chatbot widget on your Elfsight account, and nothing else (no other Elfsight products or data).

Server URL: https://mcp.elfchatbot.com/mcp (Streamable HTTP).

Connect

Sign-in is OAuth. Add the server URL to your MCP client; the client opens a browser window, you sign in to Elfsight and approve access. There is no key to copy.

Claude (claude.ai, Desktop, mobile)

Elfsight AI Chatbot is listed in the Claude connectors directory. In Claude, open Settings → Connectors, find Elfsight AI Chatbot and select Connect, then sign in to Elfsight and approve access. On Team and Enterprise plans an organization Owner may need to add the connector first. You can also add it as a custom connector with the server URL https://mcp.elfchatbot.com/mcp.

Claude lists seven tools as read-only and answer_knowledge_gap as a write tool; on the connector's page you choose for each group whether Claude asks before calling it.

Claude Code

bash
claude mcp add --transport http elfsight-ai-chatbot https://mcp.elfchatbot.com/mcp

Then run /mcp inside Claude Code and choose Authenticate for elfsight-ai-chatbot.

Cursor

This repository is also a Cursor plugin: the manifest is in .cursor-plugin/plugin.json, the server connection in mcp.json, and a rule with usage notes for the agent in rules/.

To connect without the plugin, add the server to .cursor/mcp.json and authenticate it when Cursor prompts:

json
{  "mcpServers": {    "elfsight-ai-chatbot": {      "url": "https://mcp.elfchatbot.com/mcp"    }  }}

Cline

In Cline, open MCP Servers → Remote Servers and add:

  • Server Name: elfsight-ai-chatbot
  • Server URL: https://mcp.elfchatbot.com/mcp
  • Transport: Streamable HTTP

Then choose Authenticate for the server and sign in to Elfsight in the browser.

The same in Cline's own settings file, cline_mcp_settings.json. Recent versions keep it in ~/.cline/data/settings/, older ones in the editor's User/globalStorage/saoudrizwan.claude-dev/settings/. Keep type: without it Cline falls back to the legacy SSE transport. .vscode/mcp.json belongs to VS Code's built-in MCP support; Cline does not read it.

json
{  "mcpServers": {    "elfsight-ai-chatbot": {      "type": "streamableHttp",      "url": "https://mcp.elfchatbot.com/mcp"    }  }}

Other clients

Any client that supports remote MCP servers with OAuth (dynamic client registration and PKCE) should connect with the server URL alone. We have tested Claude, Claude Code, Cursor (through the plugin), Cline and VS Code only; the VS Code snippet below is verified, the Windsurf one is the usual shape of its config.

VS Code: [Install in VS Code] or add it to .vscode/mcp.json:

json
{  "servers": {    "elfsight-ai-chatbot": {      "type": "http",      "url": "https://mcp.elfchatbot.com/mcp"    }  }}

Windsurf (mcp_config.json):

json
{  "mcpServers": {    "elfsight-ai-chatbot": {      "serverUrl": "https://mcp.elfchatbot.com/mcp"    }  }}

What you can ask it

  • list_assistants — "Which AI Chatbot widgets do I have?"
  • get_analytics — "How did my AI Chatbot perform over the last 30 days?"
  • search_conversations — "Show me conversations from last week about shipping."
  • get_conversation — "What happened in conversation <id>?"
  • list_leads — "List the new leads from this week that I haven't reviewed yet."
  • search_knowledge — "Does my knowledge base say anything about refunds?"
  • list_knowledge_gaps — "What do visitors ask that my assistant can't answer?"
  • answer_knowledge_gap — "Add this as a knowledge base answer and close that gap."

answer_knowledge_gap is the only tool that writes. Three ready-made prompts wrap common workflows end to end: weekly_report, knowledge_gaps_review, lead_followup.

Privacy

Everything a tool returns can be sent to your AI provider (Anthropic, OpenAI, etc.) as part of your conversation with the agent. Keep that in mind:

  • Lead contact fields are always masked. A lead's name, email and phone come back masked (e.g. j***@example.com, +7***4567) in list_leads and get_conversation. Full contacts are available only in the Elfsight dashboard.
  • The same values are masked in text too. Wherever the lead's own name, email or phone appears in message text, topics or summaries, it comes back masked as well. Anything else is returned as visitors wrote it: a phone typed in another format or someone else's contact stays visible. Treat everything a tool returns as possibly containing personal data.
  • Attachments are type and file name only. No file contents and no links to the files.
  • Page URLs are returned without query strings or fragments.

Internal and test conversations are not filtered out of any tool — if you use your own widget for testing, expect to see that traffic in the results too.

Limits and rate limiting

  • search_conversations, list_leads, search_knowledge and list_knowledge_gaps return 20 items by default, 100 at most. A truncated result says so and reports the total. search_conversations and list_leads page with cursor; for the other two, narrow the query.
  • get_conversation returns the 100 most recent messages by default, 500 at most.
  • Periods are rolling windows ending now — 7d, 30d or 90d. Arbitrary date ranges are not supported. list_leads also accepts no period at all, which means the whole history.
  • Requests are rate-limited per account and client. Going over the limit returns a 429 with a Retry-After header — wait and retry.

Support

Questions or issues — contact Elfsight Help Center or your account manager.

來源:README.md,提交 034aad8

工具

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版本歷史

2
  1. v1.0.1最新Oct 19, 2026
  2. v1.0.0Oct 13, 2026

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