Ev
Eventship MCP: talk to your events from Claude or ChatGPT
Hacker NewsEventship MCP: talk to your events from Claude or ChatGPT
Built an MCP server for Eventship (an in-person events platform I run). It lets Claude, ChatGPT, or any MCP client find events, register attendees, create and publish events, and broadcast to registrants through natural language. Stack: FastAPI, ~25 tools, progressive discovery to keep context load low. Started read-only, added write tools once I saw what people actually asked for. Happy to answer anything about the build. Feedback welcome.
Share cardActual performance
1points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, context · Missing: mac, agents, macos92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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