Elfsight AI Chatbot

npx add-mcp 'https://widget-data.service.elfsight.com/mcp/ai_chat'

Elfsight AI Chatbot — MCP Server

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://widget-data.service.elfsight.com/mcp/ai_chat (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 Code

claude mcp add --transport http elfsight-ai-chatbot https://widget-data.service.elfsight.com/mcp/ai_chat

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:

{
  "mcpServers": {
    "elfsight-ai-chatbot": {
      "url": "https://widget-data.service.elfsight.com/mcp/ai_chat"
    }
  }
}

Cline

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

• Server Name: elfsight-ai-chatbot
• Server URL: https://widget-data.service.elfsight.com/mcp/ai_chat
• 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.

{
  "mcpServers": {
    "elfsight-ai-chatbot": {
      "type": "streamableHttp",
      "url": "https://widget-data.service.elfsight.com/mcp/ai_chat"
    }
  }
}

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 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 (.vscode/mcp.json):

{
  "servers": {
    "elfsight-ai-chatbot": {
      "type": "http",
      "url": "https://widget-data.service.elfsight.com/mcp/ai_chat"
    }
  }
}

Windsurf (mcp_config.json):

{
  "mcpServers": {
    "elfsight-ai-chatbot": {
      "serverUrl": "https://widget-data.service.elfsight.com/mcp/ai_chat"
    }
  }
}

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 masked by default. A lead's name, email and phone come back masked (e.g. j***@example.com, +7***4567). Pass contacts: "full" on get_conversation or list_leads to get the real values in that call.
• Masking covers those fields only. Message text, page URLs and attachment links are returned as they are. Visitors often type their email or phone into the chat, so get_conversation can show contact details even when the lead fields are masked. Treat everything a tool returns as possibly containing personal data.
• Attachments are links, not content. File attachments come back as URLs, so a tool call never puts a file's contents into the model's context.

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.