General Tools

pennyregwatch.com

Provides general-purpose tools through the Model Context Protocol.

x402 supported1 endpoint1 known toolsFirst detected September 19, 2026Last detected September 19, 2026

ENDPOINT 1

https://pennyapi-production.up.railway.app/mcp

No auth detected

Capabilities

experimentalpromptsresourcestools

Search the live web for current information and ranked sources.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.penny-search]
url = "https://pennyapi-production.up.railway.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "penny-search": {
      "type": "http",
      "url": "https://pennyapi-production.up.railway.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: penny-search
Remote MCP URL: https://pennyapi-production.up.railway.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "penny-search": {
      "url": "https://pennyapi-production.up.railway.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "penny-search": {
      "type": "http",
      "url": "https://pennyapi-production.up.railway.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "penny-search",
  "transport": "streamable-http",
  "url": "https://pennyapi-production.up.railway.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for railway.app was fetched 2026-09-24T22:25:30.993Z.

Trust status Trusted

railway.app is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.