How to Use the Jiminny MCP in Google ADK

Q: How do I configure Google ADK with Jiminny?

Use McpToolset with your HTTP server parameters to register the Jiminny tools. Pass this toolset directly to your LlmAgent in your Python codebase.

Q: Does Google ADK support tool filtering for Jiminny MCP Server?

Yes, you can use the optional toolnames filter to restrict which Jiminny tools are exposed to your agent. This is useful for limiting access to sensitive coaching data.

Q: How do I pull team lists?

Your agent calls listteams to retrieve all configured groups. This lets you organize metrics by specific regional sales teams.

Run enterprise Google ADK agents with Jiminny tools to process massive sales call transcripts using Gemini long context.

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Connect Jiminny MCP to Google ADK

Create your Vinkius account to connect Jiminny 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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Setup Jiminny with Google ADK

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Process massive transcripts with Google ADK

Your Google ADK agent uses `get_transcript` to feed hours of raw Jiminny sales dialogue directly into Gemini's million-token context window. This lets the model analyze long-form sales cycles without losing track of early deal details. By using this MCP Server, your enterprise agents can run deep thematic analyses across entire Jiminny call histories. The framework handles the heavy lifting, passing raw text directly to Vertex AI pipelines.

Sync Jiminny metrics with your BigQuery datasets

Your Google ADK agent pulls structured data using `get_call_stats` and `get_coaching_stats` to compare against your BigQuery data warehouse. This allows you to combine conversation intelligence with your existing cloud-hosted revenue dashboards. Using `list_activities` and `get_activity`, the agent maps outbound sales efforts from Jiminny directly to customer accounts. You get a clear picture of team performance without manual data exports.

Manage enterprise team structures programmatically

The agent queries your sales org chart using `list_teams`, `list_users`, and `get_user` to assign coaching actions. Google ADK routes these tools to manage permissions and ensure agents only access relevant team data. Before executing these lookups, the agent runs `check_jiminny_status` to ensure your enterprise Jiminny API connection is active. This keeps your cloud workflows running without silent failures.

Setup guide

Set up Jiminny 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 Jiminny 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="Jiminny_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jiminny 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 Jiminny. 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 Jiminny MCP in Google ADK

Use `McpToolset` with your HTTP server parameters to register the Jiminny tools. Pass this toolset directly to your `LlmAgent` in your Python codebase.

Yes, Gemini's long-context window easily ingests entire transcripts retrieved via `get_transcript`. This allows the Google ADK agent to perform deep-dive analysis on long sales calls.

Yes, you can use the optional `tool_names` filter to restrict which Jiminny tools are exposed to your agent. This is useful for limiting access to sensitive coaching data.

Your agent calls `list_teams` to retrieve all configured groups. This lets you organize metrics by specific regional sales teams.

Your Jiminny transcripts and user profiles are accessed through zero-trust ephemeral environments. Vinkius manages the endpoint token, keeping your sales credentials completely isolated from Google Cloud public routes.

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