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How to Use the Jasper MCP in Google ADK

Integrate Jasper into your Google ADK environment. Build enterprise-grade agents on Google Cloud infrastructure.

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Google ADK

Connect Jasper MCP to Google ADK

Create your Vinkius account to connect Jasper to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Direct Jasper access for Google ADK

Connect your Google ADK agent to the Jasper MCP server to start generating marketing assets. Use `run_command` to pass prompts directly to the Jasper engine for immediate results. Filter your workspace documents using `list_documents` to ensure your agent only references authorized material. This keeps your Google Cloud content generation workflows clean and organized.

Ground agents with Jasper knowledge

Use `search_knowledge` to pull relevant information into your Gemini-powered agent. Your agent processes large context windows by retrieving grounded data directly from your Jasper knowledge base. Retrieve item details with `get_knowledge_item` if you need to review specific source material. This ensures your agent acts on accurate and up-to-date company data.

Manage content assets with Google ADK

Use `list_templates` and `list_tasks` to map out your campaign orchestration. Your Google ADK agent parses these lists to understand which templates are available for automated execution. Retrieve specific template schemas with `get_template` before triggering a run. This prevents errors when your agent attempts to populate template fields.

Setup guide

Set up Jasper 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Jasper 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="Jasper_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jasper tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jasper. 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 Jasper MCP in Google ADK

Use the `McpToolset` class and provide the server URL. Pass this object into your `LlmAgent` configuration to make all Jasper tools available to your Google ADK workflow.
Yes. The Google ADK framework allows you to pass a tool_names filter to the `McpToolset`. This lets you restrict access to specific operations like `run_task` or `get_style`.
It does. By using `search_knowledge`, you can feed highly relevant snippets into your agent's context. This works well with large Gemini models that handle massive token inputs.
Call `list_audiences` to get a complete set of your target segments. You can then use these IDs in `run_task` to personalize content for different audience groups.
The server operates over an ephemeral, isolated connection. It only retrieves your Jasper workspace documents and task configurations, with all traffic encrypted in transit to protect your content assets.

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