RequestHunt is a community-driven platform that collects and curates feature requests from X (Twitter), Reddit, and GitHub. We help product teams discover what features real users are asking for, making it easier to validate product ideas and prioritize feature development based on actual user demand.

How does RequestHunt collect feature requests?

RequestHunt uses AI-powered extraction to automatically collect feature requests from social media platforms including X, Reddit, and GitHub. The platform monitors discussions, issues, and posts to identify genuine user feature requests, extracting key information like the requested feature, product mentioned, and user sentiment.

Who uses RequestHunt?

RequestHunt is used by product managers, founders, developers, and product teams who want to discover what features real users are requesting. It's particularly valuable for startups looking to validate ideas, established companies prioritizing their roadmap, and developers building products that solve real user problems.

Is RequestHunt free to use?

Yes, browsing and searching feature requests on RequestHunt is completely free. We also offer API access for developers who want to integrate feature request data into their own applications. Check our pricing page for API plan details.

How often is RequestHunt data updated?

RequestHunt continuously collects feature requests from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

Integrate OAuth with AI tool execution

I need a feature that allows seamless integration of OAuth for AI agents executing tools, ensuring proper user identity and permissions are maintained throughout the process.

Original Source

@u/samurai_philosopher | 12 pts | 3/15/2026

While experimenting with MCP servers recently, I ran into an interesting authorization problem. When an AI agent calls a tool, the request path usually looks like: User → AI interface → MCP client → MCP server → application backend That means the MCP server isn’t receiving requests directly from the user anymore. Instead, it’s receiving them through an AI client that is acting on behalf of the user. The tricky part is making sure the server still knows: • who the user is • which client is acting for them • what permissions apply to that tool execution OAuth works well for propagating identity, but the MCP server still needs to enforce its own authorization rules. Wrote a breakdown of how OAuth fits into MCP servers and some security pitfalls developers should avoid.

Discussion

Loading comments...