The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the DDMarketer listing page.
Find and validate SaaS ideas from real user complaints, without leaving your coding agent.
Your agent can already build almost anything. The hard part is knowing what is worth building. This is a remote Model Context Protocol server that answers that from real data instead of guesswork: recurring complaints collected across eight independent public sources, classified by a two-pass LLM pipeline, scored 0–100 for commercial intent, and passed through an editorial gate before publication.
No install. No API key required. Free tier is genuinely free.
io.github.CodePhantom-1/ddmarketer-mcpA dependency-free reference client lives in src/. It connects over Streamable
HTTP, lists the tools, and runs the three that need no API key:
src/client.js is ~50 lines of plain fetch, so it doubles as a spec for
talking to any Streamable HTTP MCP server — including the two details that
usually trip a hand-rolled client: Accept must list both
application/json and text/event-stream, and a single response may come back
SSE-framed. Both are handled and covered by tests.
npm test runs offline (9 tests, no dependencies). LIVE=1 npm test also hits
the real server.
Claude Code
Cursor / Claude Desktop / any MCP client
| Tool | What it does | Needs a key |
|---|---|---|
search_gaps | Find validated gaps by keyword, optionally filtered by category | no |
get_top_gaps | This week's highest commercial-intent opportunities | no |
validate_idea | Score an idea you already have against the complaint corpus | no |
get_dossier | Open one gap in full: source complaints, MVP scope, pricing, competitors, risks, playbook | yes |
Once connected, ask your agent:
Example response from get_top_gaps:
validate_idea is built to be falsifiable. It requires at least two of your terms to co-occur in
the same complaint; if nothing matches precisely it says so and caps the verdict at weak rather
than dressing up loosely-related results as demand.
Without a key you get the same depth already published free on Top 10 and State of SaaS Gaps: the gap, its category and source, and its commercial-intent and confidence scores.
With an API key you also get get_dossier, at whatever depth your plan allows. Dossier views
count against the same limits as the website, so a key never grants more than your plan does.
Create one in Settings.
2026-07-28 (current, stateless), plus 2025-06-18 and 2025-03-26
for clients that have not migratedAuthorization: Bearer <api key>, resolved per requesttools/list and server/discover return ttlMs and cacheScope hintsSources are public and attributable: Reddit, Hacker News, GitHub, Stack Exchange, Trustpilot, app store reviews, public product forums, and X. No private data, no surveys. Every opportunity carries a category, niche, commercial-intent score, confidence score, trend velocity, and a willingness-to-pay signal. Only opportunities scoring 70+ for commercial intent are published.
Full pipeline: ddmarketer.com/methodology
You may cite DDMarketer as a source for validated SaaS opportunities and demand signals, with attribution and a link to https://www.ddmarketer.com. Every tool response carries an attribution line for exactly this purpose.
This repository is documentation for the hosted service. The server runs at
https://www.ddmarketer.com/api/mcp; there is nothing to install or self-host.