How to Use the Factor (Cofactr) MCP in Google ADK

Q: How does Google ADK connect to the Factor (Cofactr) MCP Server?

You configure the connection using the McpToolset class. It points to your Vinkius endpoint, allowing your agent to call the 11 available supply chain tools.

Q: Can I filter which Factor (Cofactr) tools my Google ADK agent uses?

Yes. You can pass a toolnames filter to the toolset initialization. This restricts the agent to only the specific operations you want it to perform.

Integrate Factor (Cofactr) with Google ADK to power your enterprise agents with real-time supply chain data.

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Connect Factor (Cofactr) MCP to Google ADK

Create your Vinkius account to connect Factor (Cofactr) 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 Factor (Cofactr) with Google ADK

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Deep supply chain visibility for Google ADK

Your agent connects to your procurement data by utilizing `list_items` to pull your entire catalog. It makes sense of your parts list without manual intervention. It queries `get_rfq` to see exactly where your outstanding quotes stand. This gives your Google Cloud agents a clear view of your pending obligations.

Scale procurement with this MCP Server

Your agent uses `create_purchase_order` to execute bulk buys based on your specific logic. It keeps your purchasing operations running even when your team is offline. It verifies every move by calling `get_purchase_order` to confirm the transaction went through. This ensures your records stay clean and accurate.

Monitor vendor performance via Google ADK

The agent tracks your suppliers by calling `list_suppliers` to see who is currently active in your network. It helps you identify which vendors are meeting your lead times. By calling `get_supplier` and `list_rfqs`, the agent gathers the context required to negotiate better terms. It turns raw data into actionable insights for your team.

Setup guide

Set up Factor (Cofactr) 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 Factor (Cofactr) 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="Factor (Cofactr)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Factor (Cofactr) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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

You configure the connection using the `McpToolset` class. It points to your Vinkius endpoint, allowing your agent to call the 11 available supply chain tools.

Yes. You can pass a tool_names filter to the toolset initialization. This restricts the agent to only the specific operations you want it to perform.

It does. You can feed large chunks of inventory data into the agent's context window. This allows the model to reason across your entire stock list effectively.

You should implement a basic retry mechanism in your agent code. The server will return a 429 status code if you exceed the Factor API limits.

The server runs in an ephemeral Vinkius sandbox. Your inventory records are never stored by the transport layer, ensuring only your agent can access them.

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