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Infinivo AI Front Desk MCP Server

by infinivoai Your server? Claim it
answering

Infinivo AI Front Desk is answering right now. Last checked 15 min ago. It exposes 10 tools.

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

Uptime history 39 days of history · worst day 66%
39 days agonow
91.2%
Uptime 24h
83 of 91 checks
10
Tools
read from the server
326 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 10

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 16 August 2026. No other catalogue keeps this.

21 Sep a tool description was rewritten get_positioning
12 Sep a tool description was rewritten start_intake_demo
12 Sep a tool changed the parameters it asks for start_intake_demo
16 Aug 4 tools changed the parameters they ask for book_call, continue_intake_demo, request_demo_access and 1 more
16 Aug 2 tools appeared check_email_demo, start_email_demo
16 Aug a tool description was rewritten book_call

Infinivo AI Front Desk does not always answer

Over the last week it answered 93.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add front-desk --transport http https://infinivoai.eu/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "front-desk": {
      "url": "https://infinivoai.eu/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.front-desk]
url = "https://infinivoai.eu/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "front-desk": {
      "url": "https://infinivoai.eu/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "front-desk": {
      "url": "https://infinivoai.eu/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

start
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.
start_intake_demo
Start a live text conversation with a real AI front desk. Choose the practice area with "practice": personal injury, criminal defense, family law 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.
book
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.
continue
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.
demo
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.
email
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.
positioning
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, family, criminal defence or immigration law firms. Returns structured facts, not marketing copy.
pricing
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.
proof
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.
request
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.

Endpoints

URLTransportStateLatencyChecked
https://infinivoai.eu/mcp streamable-http answering 339 ms 15 min ago

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Infinivo AI Front Desk — questions

Answers built from our own checks of this server.

What can Infinivo AI Front Desk do?
It exposes 10 tools, read directly from the server on our last check. Among them: book_call, check_email_demo, continue_intake_demo, get_demo_transcript, get_positioning, get_pricing and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Infinivo AI Front Desk working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 83 of 91 checks got a reply (91.2%), average response time 326 ms. The bar chart above shows every period we have measured.
How do I connect Infinivo AI Front Desk?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Infinivo AI Front Desk need an API key?
No. Infinivo AI Front Desk completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Infinivo AI Front Desk?
It answers our handshake in 326 ms on average, which is faster than 50% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.