How to Use the iSpring Learn MCP in Google ADK

Q: How do I register the iSpring Learn MCP Server tools with the google-adk toolset?

Use the McpToolset class and provide your Vinkius server URL in the StreamableHttpServerParameters. Pass this toolset directly to your LlmAgent instance so Gemini can access the LMS.

Q: How does google-adk handle large payloads from iSpring Learn reports?

Gemini's long context handles large datasets from getlearningreport effortlessly. The ADK streams the JSON response directly into the model context without truncation issues.

Connect Gemini models to iSpring Learn using Google ADK to analyze training records with massive context windows via this MCP Server.

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Connect iSpring Learn MCP to Google ADK

Create your Vinkius account to connect iSpring Learn 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 iSpring Learn with Google ADK

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Analyze massive training histories with Google ADK

Gemini models have a million-token context window, but they need data to fill it. This MCP Server exposes tools like `list_learners` and `list_course_enrollments` so your agent can pull your entire workforce training state in one go. Instead of looking at individual profiles, your agent can analyze organization-wide trends. You can feed the raw JSON outputs directly into Gemini to spot which departments are lagging on compliance.

Sync LMS data with BigQuery using enterprise agents

Keep your data warehouse and your LMS in lockstep. Your agent can run `get_learning_report` to pull completion metrics and format them for your BigQuery tables. This bridge lets you cross-reference training progress with performance reviews or sales data. You get a clear picture of how training impacts actual business outcomes without building brittle ETL pipelines.

Direct organizational mapping

Managing corporate hierarchies is tedious. The agent uses `list_user_groups` to read your current structure and matches it against your enterprise directory. When new departments form, the agent checks `get_course_details` to verify that the target SCORM courses match the group's requirements. This keeps your training mapping accurate as your company scales.

Setup guide

Set up iSpring Learn 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 iSpring Learn 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="iSpring Learn_agent",
    model="gemini-2.0-flash",
    instruction="You have access to iSpring Learn tools via MCP.",
    tools=mcp_tools,
)

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Common questions about iSpring Learn MCP in Google ADK

Use the `McpToolset` class and provide your Vinkius server URL in the `StreamableHttpServerParameters`. Pass this toolset directly to your `LlmAgent` instance so Gemini can access the LMS.

Yes, you can. Pass a specific list of tool names to your toolset configuration to restrict an agent to read-only queries like `list_learning_courses` while blocking write operations.

Gemini's long context handles large datasets from `get_learning_report` effortlessly. The ADK streams the JSON response directly into the model context without truncation issues.

This server supports both standard Stdio and HTTP transports. For cloud deployments, running over HTTP with secure tokens is the standard approach.

Your user groups and learner metadata are processed inside isolated, ephemeral execution environments managed by the MCP Server. No data is stored on the transport layer, and your LMS credentials are kept strictly within your Google Cloud secret manager.

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