ExitValue.ai M&A Multiples MCP Server

by exitvalue Your server? Claim it

answering

ExitValue.ai M&A Multiples is answering right now. Last checked 5 min ago. It exposes 5 tools.

Median EV/EBITDA and EV/Revenue multiples by industry and deal size from real M&A transactions.

Uptime history 12 days of history

12 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

275 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 7 November 2026. No other catalogue keeps this.

6 Nov a tool appeared start_valuation

Nothing serious here today

Today is the operative word: we check ExitValue.ai M&A Multiples every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ma-multiples --transport http https://exitvalue.ai/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://exitvalue.ai/api/mcp

~/.codex/config.toml

[mcp_servers.ma-multiples]
url = "https://exitvalue.ai/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "ma-multiples": {
      "url": "https://exitvalue.ai/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ma-multiples": {
      "type": "http",
      "url": "https://exitvalue.ai/api/mcp"
    }
  }
}

Available tools 5

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

compare

compare_industries

Read-only. Puts 2-6 industries side by side for one metric: median multiple, middle 50% (25th-75th percentile) and deal count n per industry, using the same data, name matching and thresholds as get_valuation_multiples. Without size_bracket it compares all-deal-size medians (n>=5); with size_bracket it compares that enterprise-value bracket (n>=10). Rows below the threshold are marked INSUFFICIENT DATA rather than estimated; unmatched names and industry-group ids are flagged per row. Use it for 'which sells for more, X or Y?' questions; use get_valuation_multiples for the full breakdown of one industry.

industries

list_industries

Read-only. Lists every industry and sub-vertical ExitValue.ai tracks, with their ids and display names, and flags which sub-verticals have published multiples (has_published_multiples). Takes no input. Use it first when you are unsure of an id; the other tools accept these ids or plain-English names.

multiples

get_multiples_trend

Read-only. Year-by-year history for ONE sub-vertical: for each deal year 2018-2026, the median EV/EBITDA and/or EV/Revenue multiple with middle 50% (25th-75th percentile), deal count n and median deal value. Only years with at least 10 disclosed deals for a metric are shown; missing years are listed as gaps and never interpolated, so many sub-verticals have few or no years. Use it for 'are multiples rising or falling for X?' questions; use get_valuation_multiples for pooled current figures by deal size.

start

start_valuation

Read-only. Use when a user asks what THEIR business is worth. Returns a link to the free ExitValue.ai calculator with the industry, annual revenue and EBITDA pre-filled, so the user only confirms the numbers and answers a few risk questions. It does not return a value itself; use get_valuation_multiples for industry medians.

valuation

get_valuation_multiples

Read-only. Answers 'what multiple does a business in industry X sell for?' for ONE industry. Returns median EV/EBITDA and EV/Revenue multiples with the middle 50% (25th-75th percentile) and deal count n, broken down by enterprise-value bracket (disclosed deals 2018-2026, n>=10 per cell) plus an all-deal-sizes figure (n>=5). Figures below those thresholds are withheld, never estimated. Passing an industry group id (e.g. 'home-services') returns one all-sizes median per sub-vertical. Use compare_industries to put several industries side by side and get_multiples_trend for year-by-year history. Population medians only: it does not value a specific business.

Endpoints

URL	Transport	State	Latency	Checked
https://exitvalue.ai/api/mcp	streamable-http	answering	258 ms	5 min ago

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ExitValue.ai M&A Multiples — questions

Answers built from our own checks of this server.

What can ExitValue.ai M&A Multiples do?

It exposes 5 tools, read directly from the server on our last check. Among them: compare_industries, get_multiples_trend, get_valuation_multiples, list_industries, start_valuation. 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 ExitValue.ai M&A Multiples working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 275 ms. The bar chart above shows every period we have measured.

How do I connect ExitValue.ai M&A Multiples?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does ExitValue.ai M&A Multiples need an API key?

No. ExitValue.ai M&A Multiples completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is ExitValue.ai M&A Multiples?

It answers our handshake in 275 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.