Let your AI assistant find the footage.

import Anthropic from "@anthropic-ai/sdk";

const TBO_MCP = "https://tb-2c589b78305542d6a875961451701159.ecs.us-east-1.on.aws/mcp";
const question = "Three short elephant clips from Kenya, with links";
const client = new Anthropic();

const response = await client.beta.messages.create({
  model: "claude-opus-5-5",
  max_tokens: 4096,
  betas: ["mcp-client-2025-11-20"],
  mcp_servers: [
    { type: "url", url: TBO_MCP, name: "tbo-studios" },
  ],
  tools: [
    { type: "mcp_toolset", mcp_server_name: "tbo-studios" },
  ],
  messages: [{ role: "user", content: question }],
});

import OpenAI from "openai";

const TBO_MCP = "https://tb-2c589b78305542d6a875961451701159.ecs.us-east-1.on.aws/mcp";
const question = "Three short elephant clips from Kenya, with links";
const client = new OpenAI();

const response = await client.responses.create({
  model: "gpt-5",
  tools: [{
    type: "mcp",
    server_label: "tbo-studios",
    server_url: TBO_MCP,
    require_approval: "never",
  }],
  input: question,
});

console.log(response.output_text);

import { GoogleGenAI, mcpToTool } from "@google/genai";
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import {
  StreamableHTTPClientTransport,
} from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const TBO_MCP = "https://tb-2c589b78305542d6a875961451701159.ecs.us-east-1.on.aws/mcp";
const question = "Three short elephant clips from Kenya, with links";

const mcp = new Client({ name: "my-chatbot", version: "1.0.0" });
const transport = new StreamableHTTPClientTransport(new URL(TBO_MCP));
await mcp.connect(transport);

const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const response = await ai.models.generateContent({
  model: "gemini-3.6-flash",
  contents: question,
  config: { tools: [mcpToTool(mcp)] },
});

console.log(response.text);

curl -s https://tb-2c589b78305542d6a875961451701159.ecs.us-east-1.on.aws/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call",
       "params": {"name": "search",
                  "arguments": {"query": "elephants at a waterhole", "limit": 3}}}'