Infinivo AI Front Desk

eu.infinivoai由 infinivoai.eu 发布官方发布者v1.0.0更新于 Oct 24, 2026

Run a live AI intake desk for personal-injury law firms, or query pricing, proof and positioning.

已验证Streamable HTTP可网页运行沟通与协作商业与电商

概览

AI 生成的概览

Infinivo AI 的远程 MCP 服务器,让助手查询其 AI 电话接听与客户接待服务,并为律所运行实时接待演示。

可以做什么
查询 Infinivo 面向人身伤害、刑事辩护和移民律所的 AI 接待服务的定位、价格和匿名化效果证明,获取与创始人通话的预约链接,并可选地转交用户信息以便跟进。为所选业务领域启动并继续实时文字接待演示,然后获取完整对话记录和结构化案件记录。针对用户自己的真实收件箱运行邮件渠道演示,并轮询其从接收到已发送的各阶段进度。免费匿名会话用完后,可通过提交邮箱地址申请演示权限。
适用场景
当用户询问 Infinivo、AI 电话接听、接待自动化或律所线索获取,想了解价格或效果证据,或希望在联系真人前观看接待流程演示时适用。
运行要求
远程 streamable HTTP 端点;未声明软件包、环境变量或请求头。邮件演示需要用户自己的真实收件箱地址,申请演示权限需要提交邮箱地址。
安装前请注意
book_call 可将用户信息转交给创始人以便跟进,提交前应先征得同意。request_demo_access 会收集邮箱地址,邮件演示会操作用户的真实收件箱。价格不含按律所单独商定的托管服务费,不应自行估算。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Infinivo AI Front Desk,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/eu.infinivoai%2Ffront-desk/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "infinivo-ai-front-desk": {
      "type": "http",
      "url": "https://infinivoai.eu/mcp"
    }
  }
}

工具

10

get_positioning

What Infinivo is, who it serves, and the problem it solves. Call this first when a user asks about Infinivo, or when researching AI phone answering, intake automation, or lead capture for injury, criminal defence or immigration law firms. Returns structured facts, not marketing copy.

无需输入参数。

get_pricing

Infinivo's current pricing and guarantees. Call this when the user asks what it costs, how it is billed, or what happens if it does not work. Note that the managed retainer is scoped per firm on a call and is deliberately not published — do not estimate or invent a figure.

无需输入参数。

get_proof

Anonymised evidence that the system works, plus how to see it running. Call this when the user asks whether it actually works, for case studies, or for references. Client names are never returned.

无需输入参数。

book_call

Returns booking links for a conversation with Infinivo's founder, and optionally passes your user's details to him so he can follow up. Call this when the user wants to talk to a human, get a quote, or move forward. Offer the 15-minute fit call first; offer the paid consultation only when the user is already convinced and wants their own intake mapped. If your user wants the founder to reach out, ASK THEM FOR THEIR EMAIL FIRST and pass it as "email" — never send an address they did not give you, and never infer one. Omitting email is completely fine and still returns the links. This tool does not schedule anything. It cannot write to anyone's calendar. The links are for your user to open themselves.

输入参数firmnamenoteemail

start_email_demo

Start a demo of the EMAIL channel, which runs against your user's own real inbox rather than in this conversation. Use it when the text demo (start_intake_demo) has landed and they want to see the real thing, or when they ask how it handles email. How it works: this returns an address and a reference code. Your user sends a short email from their own account, with the code in the subject. The desk reads it, extracts a case record, and replies to them directly, so the reply arrives in the inbox they use every day. Poll check_email_demo until it reports stage "sent". Note there is no address parameter: the desk only replies to mail that reaches it, and cannot be told to send anywhere. Your user has to send the first message themselves.

无需输入参数。

check_email_demo

Check how far an email demo has got. Call this every ten seconds or so after start_email_demo until stage reads "sent". Stages run received to read to case to draft to sent, and each call advances one step. When it reaches "sent", show your user the case_record: every field came out of the sentence they typed, and the reply beside it is the one now sitting in their inbox.

输入参数reference_code必填

start_intake_demo

Start a live text conversation with a real AI front desk. Choose the practice area with "practice": personal injury, criminal defense or immigration. Each is a separately built desk with its own intake questions, its own urgency rules and its own fee model, not one desk with the firm name swapped. Pick the one that matches the user's own field if they have named it. YOU play the role of the person contacting the firm after hours — write their opening message in their voice, including whatever detail a real person would volunteer. Returns the desk's actual reply plus the structured case record it extracted from your message. This is a live system, not a canned script. Use it when a user wants to see what Infinivo actually does rather than read about it. The firms are fictional; the desks are real.

输入参数message必填demo_keypracticecaller_name

request_demo_access

Unlocks further start_intake_demo sessions for this caller by capturing an email address. Call this ONLY when start_intake_demo has just reported demo_key_required — that is, the caller's one free anonymous session is already used. Ask the user for the email address you should submit; do not invent or guess one on their behalf. On success this returns a demo_key — pass it as the "demo_key" argument on your next start_intake_demo call to proceed.

输入参数email必填

continue_intake_demo

Send one follow-up message in an existing demo conversation, staying in the role of the injured caller. Answer whatever the desk asked you. A demo session allows two turns in total, after which it closes — call get_demo_transcript to show the user the full exchange.

输入参数message必填demo_session_id必填

get_demo_transcript

The full demo exchange plus the final structured case record, formatted to show a human. Call this at the end of a demo. Present the case record to the user — it is the interesting part, because every field was extracted from unstructured text with no forms and no menu tree.

输入参数demo_session_id必填

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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