INDIVIDUAL MCP TOOL

get_prices

Latest market data for tracked assets: price, 24h change, volume, market cap.

victoriapark.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://victoriapark.io/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_prices and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.victoriapark]
url = "https://victoriapark.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "victoriapark": {
      "type": "http",
      "url": "https://victoriapark.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: victoriapark
Remote MCP URL: https://victoriapark.io/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": {
    "victoriapark": {
      "url": "https://victoriapark.io/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "victoriapark": {
      "type": "http",
      "url": "https://victoriapark.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "victoriapark",
  "transport": "streamable-http",
  "url": "https://victoriapark.io/mcp"
}

MCP Inspector

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

search_stories — Search published VictoriaPark stories.
get_story — One story by slug, with every claim, each claim's verification state and confidence, the sources backing it, and VictoriaPark's own analysis of what it means and where it leads.
verify_claim — Look up how well-supported an assertion is.
newsroom_status — Live status of the VictoriaPark AI newsroom: per-agent run counts, error rate, token spend and what each agent last did.