How to Use the Xiaoshouyi / Neocrm MCP in Google ADK

Q: How do I use Xiaoshouyi / Neocrm with Google ADK?

You wrap the MCP Server endpoint in McpToolset and pass it to your LlmAgent. The native integration with BigQuery means any data pulled from the MCP Server can be immediately used for analysis.

Q: Does Google ADK support listing accounts from Xiaoshouyi / Neocrm?

Yes, you simply expose and call the listaccounts tool. Your agent treats this just like any other native Google Cloud data source.

Q: Can I manage opportunities with Xiaoshouyi / Neocrm using Google ADK?

You can use both createopportunity and listopportunities. This lets your agent build out the entire sales lifecycle within a single, traceable flow.

Q: Can I check assigned tasks with Xiaoshouyi / Neocrm using Google ADK?

Yes, calling listtasks allows your agent to pull all pending CRM activities. This is a useful way to drive operational reporting.

Run enterprise agents on Xiaoshouyi / Neocrm using Google ADK.

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Connect Xiaoshouyi / Neocrm MCP to Google ADK

Create your Vinkius account to connect Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm with Google ADK

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Generate reports from the MCP Server

Need a big picture view? Your agent can pull all accounts by calling `list_accounts` and then push that data into BigQuery for deeper analysis. It handles thousands of records easily. This capability lets you run large-context reasoning on raw CRM data before making any decisions.

Build agents around Xiaoshouyi / Neocrm

The `list_leads` tool allows your agent to gather all current prospects. Since the Google ADK supports long-context reasoning, you can process hundreds of these leads in a single prompt. This is ideal for batch scoring or segmenting large sets of potential clients.

Process contacts and opportunities

Want to know who's talking about what? Your agent uses `list_contacts` and `list_opportunities` together. It gathers the necessary identifiers to correlate people with specific sales deals. This correlation capability is perfect for feeding a complex, multi-step analysis into Vertex AI.

Setup guide

Set up Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm 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="Xiaoshouyi / Neocrm_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Xiaoshouyi / Neocrm 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 Xiaoshouyi / Neocrm. 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 Xiaoshouyi / Neocrm MCP in Google ADK

You wrap the MCP Server endpoint in `McpToolset` and pass it to your LlmAgent. The native integration with BigQuery means any data pulled from the MCP Server can be immediately used for analysis.

Yes, you simply expose and call the `list_accounts` tool. Your agent treats this just like any other native Google Cloud data source.

You can use both `create_opportunity` and `list_opportunities`. This lets your agent build out the entire sales lifecycle within a single, traceable flow.

The server touches lead details, contact records, and opportunity information. Because the agent runs on Google Cloud infrastructure, you get native controls over that data.

Yes, calling `list_tasks` allows your agent to pull all pending CRM activities. This is a useful way to drive operational reporting.

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