archoor/painspotter-mcp
by Various
Remote MCP for PainSpotter - AI-analyzed startup opportunities from Reddit, Hacker News, Product Hunt & Stack Exchange.
MCP
archoor/painspotter-mcp
Added 7 June 2026
Overview
A remote Model Context Protocol server that scans Reddit, Hacker News, Product Hunt, and Stack Exchange for discussions and content that signal potential startup opportunities. It uses analysis to surface unsolved problems and pain points that entrepreneurs could address.
Best for
Best for
Solo founders and indie hackers wanting a structured way to spot startup ideas from community discussions.
Use cases
- Monitor online communities for unfilled needs to validate startup ideas
- Identify trending pain points across multiple platforms for market research
- Feed structured opportunity data into an MCP-compatible AI agent workflow
Notes
A remote Model Context Protocol server that scans Reddit, Hacker News, Product Hunt, and Stack Exchange for discussions and content that signal potential startup opportunities. It uses analysis to surface unsolved problems and pain points that entrepreneurs could address.
0 stars on GitHub. Last updated 2026-06-04. Licensed MIT.
Use cases
- Monitor online communities for unfilled needs to validate startup ideas
- Identify trending pain points across multiple platforms for market research
- Feed structured opportunity data into an MCP-compatible AI agent workflow
Pros
- Aggregates signals from four distinct, high-signal communities
- Open source and Python-based, easy to inspect or extend
- Works as a remote MCP server, integrating with existing AI toolchains
Cons
- Zero GitHub stars indicates little to no community validation or usage
- Dependent on external platform APIs or scraping which may break or require maintenance
- Requires running and hosting a remote MCP server, adding operational complexity
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Aggregates signals from four distinct, high-signal communities
- Open source and Python-based, easy to inspect or extend
- Works as a remote MCP server, integrating with existing AI toolchains
Cons
- Zero GitHub stars indicates little to no community validation or usage
- Dependent on external platform APIs or scraping which may break or require maintenance
- Requires running and hosting a remote MCP server, adding operational complexity
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