Server data from the Official MCP Registry
Same link preview data as link-preview-api, ~1/3 the price via a shared cache.
About
Same link preview data as link-preview-api, ~1/3 the price via a shared cache.
Remote endpoints: streamable-http: https://link-preview-cache-api.onrender.com/mcp
Security Report
Valid MCP server (1 strong, 6 medium validity signals). 1 known CVE in dependencies Imported from the Official MCP Registry.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-cmondillo-link-preview-cache-api": {
"url": "https://link-preview-cache-api.onrender.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
tools
A portfolio of small, single-purpose paid services sold directly to AI agents —
no human checkout flow, no dashboard login, no subscription. An agent calls the
API, gets an HTTP 402 Payment Required quote, pays a few cents in USDC, and
gets its answer. Fully automatic on both sides.
Each service lives in its own self-contained folder under projects/
and follows the same pattern:
- One narrow problem, solved well. No platforms, no suites — a single job an agent needs done.
- x402 for payment. HTTP-native, stablecoin micropayments, no merchant account or KYC required on the seller side — just a wallet address. This is the emerging standard for agent-to-API payments (backed by Coinbase, adopted by AWS Bedrock AgentCore, Cloudflare, and others as of 2026).
- Discoverable by agents, not just humans — each API declares an x402 Bazaar discovery schema so agents can find and call it without a human ever reading the docs.
- A sample automation client included with every project, showing an agent discovering, paying for, and consuming the service end-to-end.
- Where it adds real reach, also sold as an MCP tool
(
api/app/mcp_server.py) — the same product, the same price, a second interface for coding agents that discover tools over MCP rather than raw HTTP.
Projects
| Project | What it sells | Status |
|---|---|---|
link-preview-api | Pay-per-call URL metadata (Open Graph/title/description/image) extraction | Live on Base mainnet, earning real USDC: https://link-preview-api-z4nf.onrender.com |
content-moderation-api | Pay-per-call profanity/explicit-content detection with redaction, sold over both HTTP and MCP | Live on Base mainnet, earning real USDC: https://content-moderation-api-hhy1.onrender.com |
link-preview-cache-api | Same product as link-preview-api, ~⅓ the price — backed by a shared cache. First instance of a general "x402 cache" pattern | Live on Base mainnet, earning real USDC: https://link-preview-cache-api.onrender.com |
Repo conventions
- Every project is fully self-contained in
projects/<project-slug>/: its own code, tests, Dockerfile, deploy config, and README. Nothing product-specific is shared between projects. - Every project ships with:
api/— the paid service itselfautomation-client/— a sample agent that pays for and consumes itdeploy/— ready-to-use deploy configs (Render/Fly/etc.)README.md— the business case, architecture, and exact steps to take it from "runs on my machine" to "earning money"LISTING.md— the marketplace/directory listing copy, ready to publish
- New projects get added the same way: a clean new folder, same skeleton, linked in the table above.
- One deliberate exception to "nothing shared":
scripts/holds portfolio-level publishing tooling — not product code, reused across every project the same way (e.g. submitting a new tool to x402-list.com's API). SeePUBLISHING.mdfor the full playbook: what's genuinely automatic, what's scripted, and what stays a deliberate manual step and why.
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