ResultRail by LarryBuildsAI
RemoteAbout ResultRail by LarryBuildsAI
ResultRail is a hosted MCP server that returns source-attributed result packs from public URLs and domains for AI agents. Its results include confidence, freshness, stop conditions, and deterministic hashes; paid tool execution may require authorization or x402 payment.
Key features
- 01Public URL extracts
- 02Public domain result packs
- 03Source URLs and confidence
- 04Freshness and stop conditions
- 05Deterministic result hashes
Use cases
- 01Retrieve sourced information from a public URL
- 02Gather a bounded result pack for a public domain
MCP support
A remote Streamable HTTP MCP server exposes public discovery through initialize and tools/list. Protected paid tools may require product-specific authorization and/or x402 payment.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://proofbeforepay.vercel.app/resultrail/mcpclaude mcp add --transport http larrylemonbot-resultrail https://proofbeforepay.vercel.app/resultrail/mcp{"mcpServers":{"larrylemonbot-resultrail":{"type":"http","url":"https://proofbeforepay.vercel.app/resultrail/mcp"}}}Open in Cursor{"servers":{"larrylemonbot-resultrail":{"type":"http","url":"https://proofbeforepay.vercel.app/resultrail/mcp"}}}Open in VS Code{"mcpServers":{"larrylemonbot-resultrail":{"type":"http","url":"https://proofbeforepay.vercel.app/resultrail/mcp"}}}{"mcpServers":{"larrylemonbot-resultrail":{"serverUrl":"https://proofbeforepay.vercel.app/resultrail/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
3| Parameter | Type | Required | Description |
|---|---|---|---|
| task | string | No | Optional plain-language task or buying intent. |
| input | string | No | Domain, URL, or target text to stage. |
| task_type | enum | Yes | Result type to quote.domain | extract |
| max_price_usdc | string | No | Maximum acceptable price. Defaults to 10. |
Details
From the project READMEResultRail by LarryBuildsAI MCP Server
Public listing metadata for the hosted ResultRail by LarryBuildsAI remote MCP server.
This repository is intentionally metadata-only. The production MCP server is hosted remotely by LarryBuildsAI; private application source code, credentials, payment keys, and operator materials are not published here.
Server
- Product: ResultRail by LarryBuildsAI
- Purpose: pay-per-success public-data result packs with source URLs, confidence, timestamps, and receipt hashes
- Remote MCP endpoint:
https://proofbeforepay.vercel.app/resultrail/mcp - Marketplace proof:
https://proofbeforepay.vercel.app/resultrail/marketplaces - Server card:
https://proofbeforepay.vercel.app/resultrail/.well-known/mcp/server-card.json
Install / connect
ResultRail is a remote Streamable HTTP MCP server. Use this endpoint in an MCP client that supports remote HTTP MCP servers:
{
"mcpServers": {
"resultrail": {
"url": "https://proofbeforepay.vercel.app/resultrail/mcp"
}
}
}
Public initialize and tools/list calls are available for discovery. Protected paid tool execution may require product-specific authorization and/or x402 payment flow.
Buy through PayanAgent
PayanAgent validates buyer input, settles USDC, and returns the selected source-attributed result automatically:
ResultRail reads public pages only and returns bounded source URLs, confidence, freshness, stop conditions, and deterministic result hashes. It does not access private data or credentials.
Metadata validation
The repository workflow parses server.json and mcp-registry.json and checks their required product, endpoint, repository-purpose, and registry fields. That structural check does not prove hosted runtime health; public endpoints must be read back separately before release claims or listing updates.
Claim boundaries
- This repo is public metadata for a hosted remote MCP server, not a claim that private production source code is open source.
- Directory listings are discovery evidence only, not endorsement, certification, ranking, or security approval.
License
Commercial hosted service metadata. All rights reserved unless a separate written license applies.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.