ai.exitvalue由 exitvalue.ai 發布官方發布者v1.0.0更新於 Oct 29, 2026
Median EV/EBITDA and EV/Revenue multiples by industry and deal size from real M&A transactions.
遠端唯讀 MCP 伺服器，讓助理依產業、交易規模與年份查詢彙總的併購估值倍數（EV/EBITDA、EV/Revenue）。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.exitvalue%2Fma-multiples/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"exitvalue-ai-m-a-multiples": {
"type": "http",
"url": "https://exitvalue.ai/api/mcp"
}
}
}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.
無需輸入參數。
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.
industry必填size_bracketCompare 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.
metricindustries必填size_bracketGet 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.
metricindustry必填已滿足適用檢查項的 72%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
請在註冊中心條目中發布圖示。
請宣告包含 README 的 GitHub 儲存庫，或在 OAuth 受保護資源後設資料中提供 resource_documentation。
託管服務按其提供方的條款使用，因此這裡不要求授權條款。此檢查項不計入百分比。