OpenAPI MCP Server – Make Cursor AI Understand Your API Specs

Hacker News

Hey everyone! I've built an MCP server that helps LLMs understand your OpenAPI specifications. It's pretty straightforward: What it does: - Loads multiple OpenAPI specifications from a directory - Exposes API operations and schemas through MCP protocol - Enables LLMs to understand and work with your APIs directly in your IDE - Supports dereferenced schemas for complete API context - Maintains a catalog of all available APIs GitHub: https://github.com/ReAPI-com/mcp-openapi Would love to get your feedback and suggestions!

Visit product View on Hacker NewsMar 30, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, mcp, context · Missing: mac, agents, macos

93%93% 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: supports · Missing: reddit linkedin, podcasting, created

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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