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Painspotter MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:01:43 PM

Painspotter MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
startup-researchopportunitiesmarket-signalsredditmcp

Explore AI-analyzed startup opportunities, pain points, market signals, and weekly analyses through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "archoor-painspotter-mcp": {
      "command": "uvx",
      "args": [
        "painspotter-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (7) Directory Badge Claim listing AlternativesπŸ”¬ More in Research

Overview

The archoor/painspotter-mcp MCP server exposes PainSpotter’s opportunity research through a hosted MCP endpoint or a local stdio package. It organizes mined discussions into categories, trending themes, and concrete opportunities scored for pain intensity, willingness to pay, and build difficulty. Use it to investigate startup ideas, compare market signals, or retrieve weekly analyses from Claude, Cursor, or another MCP client. The hosted endpoint provides seven tools with free and Pro tiers, while the local package provides four tools through the public REST API.

Use cases

β€’Research startup opportunities from recurring user complaints
β€’Compare opportunities by commercial score and source platform
β€’Track pain points that are trending upward
β€’Read weekly analyses and retrieve related opportunity details

Key features

β€’Query opportunity records by keyword, score, platform, recommendation, or category
β€’Inspect pain intensity, willingness-to-pay, and build-difficulty scores
β€’Browse trending themes and theme-level market signals
β€’Retrieve weekly blog analyses as Markdown
β€’Connect through hosted MCP or local stdio

Capabilities & Tool Schemas (7) ~104 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Painspotter MCP.

get_overview

Categories overview + trending snapshot

get_opportunity

Full detail of one opportunity (+ related blog URL if any)

list_blog_posts

Recent published weekly analyses

get_blog_post

Full Markdown of one blog article

query_opportunities

Filter by keyword / score / platform / recommendation / category

list_trending_themes

Pain points trending up right now

How Painspotter MCP works

What archoor/painspotter-mcp MCP server does

The archoor/painspotter-mcp MCP server gives MCP clients access to business-opportunity research from PainSpotter. The service analyzes discussions from Reddit, Hacker News, Product Hunt, and Stack Exchange to identify recurring problems and possible products. Results are arranged in three levels:

  • Categories represent broad domains.
  • Themes group related pain points and include trend signals.
  • Opportunities describe specific product ideas and include commercial scores.

The scores cover pain intensity, willingness to pay, and build difficulty. PainSpotter also publishes weekly, long-form blog analyses that can be retrieved as Markdown.

How it works

You can connect to the hosted endpoint at https://painspotter.ai/mcp/ and provide an API key in the X-API-Key header. The hosted service exposes the complete seven-tool set. Free access includes the overview, individual opportunity details, and blog operations. Searching opportunities, listing trending themes, and retrieving theme-level market signals require a Pro or Business key.

A local stdio option is also available through the painspotter-mcp package. It calls PainSpotter’s public REST API rather than hosting an independent data source. The local version supports opportunity search and detail retrieval, plus the two blog tools. The blog operations do not require a key; opportunity operations do.

Setup and configuration

For a hosted connection, add the MCP URL to the client configuration and send an API key created through the PainSpotter account page. The hosted configuration uses the X-API-Key header.

For local execution, install the package with pip or run it using uvx:

bash
uvx painspotter-mcp

The local configuration accepts PAINSPOTTER_API_KEY for authenticated API access and PAINSPOTTER_API_BASE to specify the API base URL. The README shows https://painspotter.ai as the base value. A key is not needed when using only the local blog tools.

Tools and capabilities

The hosted archoor/painspotter-mcp MCP server exposes these operations:

  • get_overview returns category information and a trending snapshot.
  • get_opportunity retrieves complete information for one opportunity and may include a related blog URL.
  • list_blog_posts lists recent weekly analyses.
  • get_blog_post returns one article in full Markdown.
  • query_opportunities filters by keyword, score, platform, recommendation, or category.
  • list_trending_themes identifies pain points currently trending upward.
  • get_theme returns a theme-level market signal and its underlying opportunities.

The local package exposes query_opportunities, get_opportunity, list_blog_posts, and get_blog_post. Hosted calls other than blog operations consume monthly quota units. The documented allowances are 20 units for Free, 1,000 for Pro, and 5,000 for Business accounts; the blog tools do not consume hosted quota.

Limitations and notes

The local and hosted interfaces are not feature-equivalent. In particular, local execution does not provide the hosted overview, trending-theme, or theme-detail tools. Free hosted access does not include opportunity search or theme-level research. API keys and plan limits therefore affect which operations are available. The repository is licensed under MIT.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
7
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Painspotter MCP

Run `uvx painspotter-mcp` for the local stdio package, or connect an MCP client to `https://painspotter.ai/mcp/` without a local install.

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Technical Specs & Signals

CategoryπŸ”¬Research
PricingFreemium
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 15, 2026
57Quality signal: Good Β· 57/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools30/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Β· painspotter-mcp (PyPI)

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