Appraisily
by appraisily.com · com.appraisily/mcp
Check past auction prices in ChatGPT, plus appraisal prep and sample reports.
- Category
- Analytics and data
- Connection
- Remote (HTTP)
- Tools
- 17 reported
- Status
- Online
Connect it to your AI
Claude Code
claude mcp add --transport http appraisily https://mcp.appraisily.com/mcpClaude, ChatGPT, Cursor and other apps
Add it as a custom connector with this URL (Streamable HTTP):
https://mcp.appraisily.com/mcpCursor, VS Code and other apps (mcp.json)
{
"mcpServers": {
"appraisily": {
"url": "https://mcp.appraisily.com/mcp"
}
}
}Tools it offers
17 tools, as the server itself reported during our check on Oct 31, 2026.
searchSearch Appraisily public appraisal guidance, service information, sample reports, and photo-preparation content. Use this when a user is exploring whether an item needs an art, antique, insurance, tax, estate, donation,fetchFetch one Appraisily public knowledge document by id after using search. Use this when the user needs a specific public Appraisily source, sample-report link, or fuller guidance from a search result. Do not use this forget_public_sample_reportReturn a canonical public Appraisily sample report URL. Use this when a user wants to inspect example report formats before starting an appraisal. Choose the closest category if the user mentions insurance, tax, donationcreate_appraisal_start_linkCreate a tracked Appraisily /start link when a user is ready to submit an item for appraisal. Use this after giving basic guidance when the user indicates intent to start, order, upload photos, get a report, insure an itsearch_auction_comparablesSearch past public auction results for compact market context. Return at most 6 sold lots per query. Use this only as research evidence, not as a final appraisal or formal value conclusion. This tool is read-only and retsearch_artistsSearch Appraisily public artist directory pages and compact sold-lot context. Return at most 6 artists per query, with up to 6 recent lots on the top match. Use this for artist identification and market context, not as aget_artistFetch one Appraisily public /artist page by slug, artist URL, or search query. Returns name, public page URL, aliases, genres, market summary, recent sold lots, top houses, related artists, and page extras such as birth/search_silver_hallmarksSearch Appraisily public silver hallmark and maker-mark catalog records from /marks. Return at most 6 makers per query, with mark texts, dates, line-drawing and oxidized reconstruction image URLs when Appraisily hosts thget_silver_hallmarkFetch one Appraisily /marks maker page: mark texts, dates, source citations, and hosted line-drawing plus oxidized reconstruction image URLs for that maker’s variants. Use after search_silver_hallmarks when the user needprepare_pro_screener_case_packetPrepare a professional appraisal screening packet from item context before an appraiser starts or reviews a Pro Screener case. Use this for credentialed appraisers and valuation teams who need missing-photo checks, missicreate_pro_screener_workspace_linkCreate a tracked Appraisily Pro Screener workspace link for an appraiser or valuation team. Use this when a professional user wants to open the product, continue an existing session, or move a ChatGPT research packet intsearch_pro_screener_comparablesSearch Appraisily valuation infrastructure for comparable auction lots for professional appraisal screening. Use this only for authenticated appraiser workflows and research support. Return compact comparable evidence fostart_pro_screener_runStart a private Appraisily Lotbook (Pro Screener) run from a signed-in Appraisily account and a photo. Use this when the user wants Lotbook, Pro Screener, or a professional screening report from ChatGPT after they have sstart_promotional_pro_screener_runStart a promotional Appraisily Lotbook run whose finished PDF includes the Appraisily logo. Use this for marketing, demos, social posts, or other public Appraisily-branded leave-behinds. Do not use this for a client/whitget_pro_screener_statusFetch status for a Lotbook session. Public promotional runs do not need Appraisily sign-in. Use this after start_promotional_pro_screener_run or start_pro_screener_run returns a sessionId. Private client sessions still rget_pro_screener_resultFetch compact comparable results and analysis summary for an existing Pro Screener session. Use this when an appraiser wants to review evidence already generated by Pro Screener. The response is intentionally compact andget_pro_screener_pdfReturn the Lotbook PDF URL once the report is ready. Promotional runs started with the Appraisily MCP key or owner sign-in return a durable public assets.appraisily.com/promotional-lotbook URL; other promotional runs ret
Questions
What is the Appraisily MCP server?
Check past auction prices in ChatGPT, plus appraisal prep and sample reports. It is made by appraisily.com and listed in the official MCP Registry as com.appraisily/mcp. MCP (Model Context Protocol) is the open standard that lets AI apps like Claude, ChatGPT and Cursor use outside tools.
How do I add Appraisily to Claude?
In the Claude app or claude.ai, open Settings, then Connectors, choose "Add custom connector" and paste https://mcp.appraisily.com/mcp. In Claude Code, run: claude mcp add --transport http appraisily https://mcp.appraisily.com/mcp
How do I add Appraisily to ChatGPT?
ChatGPT can use remote MCP servers as connectors. In ChatGPT settings, under Apps and Connectors, turn on developer mode if asked, create a new connector and paste https://mcp.appraisily.com/mcp.
How do I add Appraisily to Cursor?
Open Cursor settings, go to MCP, choose "Add new MCP server" (or edit ~/.cursor/mcp.json) and add: { "mcpServers": { "appraisily": { "url": "https://mcp.appraisily.com/mcp" } } }
Does Appraisily work right now?
Yes. It responded when we last checked on 31 Oct 2026. We check remote MCP servers every day.
What can Appraisily do?
It gives your AI 17 tools, including search, fetch, get_public_sample_report, create_appraisal_start_link, search_auction_comparables. The full list is on this page.
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Markdown (GitHub README)
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