railrouter-lite
RailRouter Lite is a real, production-ready MCP server implementing the Model Context Protocol. It exposes one tool: route_payment. This tool intelligently routes payments to the optimal rail (Stripe MPP, Coinbase x402, or Google AP2) in real time, choosing based on cost, latency, and success rate. Every decision is logged to a Cloudflare D1 database, creating compounding routing intelligence
README
RailRouter Lite
Intelligent real-time payment rail router for AI agents.
Live MCP Endpoint
https://railrouter-lite.sgdata.workers.dev/mcp
Tool: route_payment
Routes a payment request to the optimal rail (Stripe MPP, x402, or Google AP2) in real time based on cost, latency, and success rate.
Input Schema
{
"amount_sgd": { "type": "number", "description": "Amount in SGD" },
"target_server_url": { "type": "string", "description": "The MCP server that needs payment" },
"tool_name": { "type": "string", "description": "Name of the tool being paid for" },
"preferred_rail": { "type": "string", "enum": ["mpp", "x402", "ap2", "auto"] }
}
Response Example
JSON{
"success": true,
"chosen_rail": "mpp",
"payment_intent": "rr_1744641123456",
"estimated_fee_sgd": 0.13,
"message": "Routed via MPP in 12ms"
}
Every routing decision is automatically logged to D1, creating compounding intelligence (cost, latency, success rate per category). No other MCP server offers intelligent cross-rail routing.
Compatible with LangChain, LangGraph, CrewAI, AutoGen and any MCP client.
GitHub: https://github.com/vdineshk/railrouter-lite
Pricing
Free: 10 routes/day
Starter: S$29/month (unlimited + analytics)
Pro: S$99/month (priority routing + Observatory trust integration)
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.