Custom MCP client

const MCP = process.env.APOGEE_MCP_URL ?? "https://apogeemcp.digital/api/mcp";

async function mcp<T>(method: string, params: unknown = {}, id = 1): Promise<T> {
  const res = await fetch(MCP, {
    method: "POST",
    headers: { "content-type": "application/json" },
    body: JSON.stringify({ jsonrpc: "2.0", id, method, params }),
  });
  if (res.status === 429) throw new Error("RATE_LIMITED");
  const json = await res.json();
  if (json.error) throw new Error(json.error.message);
  return json.result as T;
}

const init = await mcp("initialize");
const { tools } = await mcp<{ tools: Array<{ name: string }> }>("tools/list");
const scan = await mcp("tools/call", {
  name: "scan_token",
  arguments: { query: "NVDA" },
});
console.log(init, tools.length, scan);

import json, os, urllib.request

MCP = os.environ.get("APOGEE_MCP_URL", "https://apogeemcp.digital/api/mcp")

def mcp(method, params=None, id=1):
    body = json.dumps({"jsonrpc": "2.0", "id": id, "method": method, "params": params or {}}).encode()
    req = urllib.request.Request(MCP, data=body, headers={"content-type": "application/json"})
    with urllib.request.urlopen(req, timeout=30) as res:
        payload = json.loads(res.read().decode())
    if payload.get("error"):
        raise RuntimeError(payload["error"])
    return payload.get("result")

mcp("initialize")
tools = mcp("tools/list")["tools"]
scan = mcp("tools/call", {"name": "scan_token", "arguments": {"query": "NVDA"}})
print(len(tools), scan["structuredContent"] if isinstance(scan, dict) else scan)