ZBS Index What actually exists in applied AI, with the source next to it

mcp server

painspotter

AI-analyzed startup opportunities from Reddit, Hacker News & Product Hunt, with commercial scores.

Description as published by the maintainer. Source

  • version 1.0.0
  • archived

archived — The linked repository returns 404. It was deleted, renamed or made private.

What this server can do

7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_blog_post(slug)
Get the full Markdown body of one published blog post by its slug. Free; does not consume API quota. Content is an original AI synthesis with no verbatim community quotes. Required: slug.
get_opportunity(opportunity_id)
Get the full detail of a specific opportunity: description, score breakdown, MVP features, competitors, differentiation, risks and community evidence count. (Free tool) Required: opportunity_id.
get_overview
Get a global overview of PainSpotter: all domain categories (with theme count, opportunity count and 30-day mentions) plus a snapshot of currently trending themes. A good first step to map the landscape before drilling in with the other tools. (Free tool)
get_theme(theme)
Get the full market signal for a single theme: trend, 30-day / all-time mentions, signal channels, audience clarity and market summary, plus the top-scoring opportunities under it (including the Best Bet flagship opportunity). (Pro tool) Required: theme.
list_blog_posts(limit)
List recent published PainSpotter blog posts — weekly long-form analyses of validated business opportunities (who's hurting, why now, how to build it). Free; does not consume API quota.
list_trending_themes(limit, min_mentions)
List themes that are currently heating up (sorted by trend change %), to catch demand that is growing. A theme is the "market-signal layer": it aggregates multiple opportunities and carries 30-day mentions, trend direction and audience clarity. (Pro tool)
query_opportunities(sort, query, category, platform, min_score, page_size, recommendation)
Unified opportunity search: filter by keyword, minimum score, platform, recommendation tier and domain category, then sort the results. (Pro tool)

Last successful function declaration observed on . Source: https://painspotter.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://painspotter.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 1.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-06-02 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status not_found GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. as of fetch GitHub
mcp tools declared 7 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe painspotter.ai
mcp endpoint status ok The server listed 7 functions when asked. as of probe painspotter.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. archoor/reddit-insight on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://painspotter.ai/mcp — painspotter.ai, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.