How to Use the ShowAPI / 易源数据 MCP in Google ADK

Q: How do I integrate ShowAPI / 易源数据 into the Google ADK?

Use McpToolset and pass it to your LlmAgent. The framework supports Stdio and HTTP transports, letting you choose how your agent connects to the MCP Server endpoint.

Q: If I filter tools using Google ADK, how do I make sure ShowAPI / 易源数据 still works?

You can use the optional toolnames filter to restrict exposure. Just ensure that all required tools—like getstockinfo or translatetext—are included in your list.

Q: Can ShowAPI / 易源数据 handle translation for various languages with Google ADK?

Definitely. The translatetext tool handles text conversion between many languages, making it easy to localize content generated by the agent using its deep context.

ShowAPI / 易源数据: Enterprise Agents for Google ADK Integration

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Connect ShowAPI / 易源数据 MCP to Google ADK

Create your Vinkius account to connect ShowAPI / 易源数据 to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ShowAPI / 易源数据 with Google ADK

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Connecting ShowAPI / 易源数据 via MCP Server

Your agent can treat the entire ShowAPI / 易源数据 suite as one unified toolset. For instance, it might use `get_stock_info` to pull current data, then feed that text into a Gemini model for analysis, and finally pass the result through `translate_text`. The Google ADK makes this easy by letting you expose all 10 tools as a single `McpToolset`, keeping your complex logic clean.

Advanced Content Generation with Gemini Models

The long-context window of the Gemini model lets it hold massive amounts of context, making ShowAPI / 易源数据 outputs incredibly valuable. If you pull a list of historical events using `get_history_today`, the agent can analyze that data against BigQuery records. It's built for agents that need to reason over huge datasets and complex API interactions.

Geo-location and Translation Services

You don't have to stitch together separate geo-services. The agent first uses `get_ip_lookup` to get location data, then pulls the relevant weather details via `get_weather`. It can even use that context to generate a localized summary using `translate_text`. This workflow is ideal for global enterprise applications running on Google Cloud.

Setup guide

Set up ShowAPI / 易源数据 MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ShowAPI / 易源数据 tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ShowAPI / 易源数据_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ShowAPI / 易源数据 tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ShowAPI / 易源数据. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ShowAPI / 易源数据 MCP in Google ADK

Use `McpToolset` and pass it to your LlmAgent. The framework supports Stdio and HTTP transports, letting you choose how your agent connects to the MCP Server endpoint.

Yes. Since the Gemini models handle long context (1M+ tokens), they can reason over structured outputs from tools like `get_currency_rates` and unstructured text from `get_jokes` equally well.

This MCP Server touches financial metrics, geographical information (IPs), time-series data (weather/stocks), and diverse text formats. Your agent can access them all via the unified toolset.

You can use the optional `tool_names` filter to restrict exposure. Just ensure that all required tools—like `get_stock_info` or `translate_text`—are included in your list.

Definitely. The `translate_text` tool handles text conversion between many languages, making it easy to localize content generated by the agent using its deep context.

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