Remote, read-only MCP server that gives an assistant aggregate M&A valuation multiples (EV/EBITDA, EV/Revenue) by industry, deal size and year.
What you can do
List every industry and sub-vertical tracked, with ids and whether published multiples exist
Look up median EV/EBITDA and EV/Revenue multiples with middle-50% ranges and deal counts for one industry, broken down by enterprise-value bracket
Compare 2-6 industries side by side on one metric, with or without a size bracket
Show year-by-year multiple history for one sub-vertical from 2018 to 2026, including deal counts and median deal value
When to use it
Useful when someone asks what multiple businesses in a given industry sell for, wants to benchmark sectors or track how multiples moved over time, and needs figures backed by disclosed deal counts rather than estimates.
Requirements
A remote streamable HTTP endpoint at exitvalue.ai; no packages, environment variables or headers are declared, and no authentication is declared.
Before you install
All tools are read-only and only return aggregate statistics. Figures below the data thresholds are withheld rather than estimated, so some industries, brackets or years may be missing. Valuations of a specific business are not provided; the server points users to a separate valuation page.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.exitvalue%2Fma-multiples/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
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.
Takes no parameters.
get_valuation_multiples
Get M&A 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.
Parametersindustryrequiredsize_bracket
compare_industries
Compare industries' M&A multiples
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.
Parametersmetricindustriesrequiredsize_bracket
get_multiples_trend
Get M&A multiples trend by year
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.
Parametersmetricindustryrequired
Version history
1
v1.0.0LatestOct 29, 2026
Score
72%
72% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Publish an icon in the registry entry.
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.