How to Use the Celigo integrator.io MCP in Google ADK

Q: How do I configure the Celigo integrator.io MCP Server within Google ADK?

Instantiate McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent tools list. The Google ADK handles the handshake and exposes tools like listintegrationexports to your Gemini model.

Q: Can my Google ADK agent run multiple Celigo integrator.io flows simultaneously?

Yes, the agent can call runintegrationflow multiple times within its execution loop. The underlying Google ADK runtime manages these parallel tool calls efficiently.

Q: How do I restrict my Google ADK agent from calling specific Celigo integrator.io tools?

You can use the toolnames filter when initializing your McpToolset in Python. This lets you hide write operations like runintegrationflow while keeping read operations like listintegrationflows active.

Run Celigo integrator.io automation tasks using Gemini's long-context reasoning in the Google ADK.

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Setup Celigo integrator.io with Google ADK

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Trigger Celigo integrator.io flows from Google ADK

Gemini models excel at parsing massive contexts, like analyzing a BigQuery dataset to find mismatched records. Once the Google ADK agent identifies the missing data, it calls `run_integration_flow` to sync Celigo systems instantly. You don't need to build custom cloud functions to bridge the gap. The Google ADK agent queries `list_integration_flows` to find the exact Celigo pipeline it needs to run.

Cloud-scale error monitoring with Google ADK

Enterprise data pipelines fail, but finding the root cause shouldn't require digging through log files. Your Google ADK agent uses `list_integration_errors` to pull the latest Celigo issues directly into Gemini's context window. Because the Gemini agent can hold millions of tokens, it compares those errors against historical patterns retrieved via `get_flow_details` to suggest exact Celigo fixes.

Dynamic integration audits via Gemini MCP Server

Keep your cloud infrastructure aligned with your business logic. The Google ADK agent calls `list_integrations` to fetch your active Celigo setups and cross-reference them with your Google Cloud assets. By checking `list_integration_connections`, the Google ADK agent alerts your team if a critical Celigo pipeline loses its connection to BigQuery or Vertex AI.

Setup guide

Set up Celigo integrator.io 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 Celigo integrator.io 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="Celigo integrator.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Celigo integrator.io 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 Celigo integrator.io. 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 Celigo integrator.io MCP in Google ADK

Instantiate `McpToolset` with your Vinkius HTTP URL and pass it to your `LlmAgent` tools list. The Google ADK handles the handshake and exposes tools like `list_integration_exports` to your Gemini model.

Yes, the agent can call `run_integration_flow` multiple times within its execution loop. The underlying Google ADK runtime manages these parallel tool calls efficiently.

You can use the `tool_names` filter when initializing your `McpToolset` in Python. This lets you hide write operations like `run_integration_flow` while keeping read operations like `list_integration_flows` active.

Yes, the Google ADK configuration accepts both transport types. For Vinkius-hosted deployments, you will use the Streamable HTTP transport to connect securely to your Celigo workspace.

Your Celigo credentials and flow metadata are processed inside an ephemeral V8 sandbox. No integration logs or connection tokens are stored or shared with Google Cloud's model training datasets.

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