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Xiaoshouyi / Neocrm MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Xiaoshouyi / Neocrm through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Xiaoshouyi / Neocrm "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Xiaoshouyi / Neocrm?"
    )
    print(result.data)

asyncio.run(main())
Xiaoshouyi / Neocrm
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About Xiaoshouyi / Neocrm MCP Server

Empower your AI agent to orchestrate your sales cycle with Xiaoshouyi (Neocrm), the premier enterprise CRM platform in China. By connecting Xiaoshouyi to your agent, you transform complex pipeline management and customer tracking into a natural conversation. Your agent can instantly list your leads, retrieve account details, manage sales opportunities, and even audit team tasks without you needing to navigate the comprehensive web interface. Whether you are managing a large-scale sales team or a specific high-value deal, your agent acts as a real-time sales assistant, keeping your CRM data accurate and your pipeline moving.

Pydantic AI validates every Xiaoshouyi / Neocrm tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Lead Management — List all active leads, get detailed information, and create new prospects instantly.
  • Account & Contact Tracking — Browse companies and individual contacts to maintain a clear picture of your customer base.
  • Opportunity Control — Monitor sales pipelines and create new opportunities to track your deal flow effectively.
  • Task Operations — Manage CRM tasks and activities to keep your sales team productive and aligned.
  • Sales Insights — Retrieve high-level summaries of CRM activity and team performance.

The Xiaoshouyi / Neocrm MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Xiaoshouyi / Neocrm to Pydantic AI via MCP

Follow these steps to integrate the Xiaoshouyi / Neocrm MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 9 tools from Xiaoshouyi / Neocrm with type-safe schemas

Why Use Pydantic AI with the Xiaoshouyi / Neocrm MCP Server

Pydantic AI provides unique advantages when paired with Xiaoshouyi / Neocrm through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Xiaoshouyi / Neocrm integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Xiaoshouyi / Neocrm connection logic from agent behavior for testable, maintainable code

Xiaoshouyi / Neocrm + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Xiaoshouyi / Neocrm MCP Server delivers measurable value.

01

Type-safe data pipelines: query Xiaoshouyi / Neocrm with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Xiaoshouyi / Neocrm tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Xiaoshouyi / Neocrm and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Xiaoshouyi / Neocrm responses and write comprehensive agent tests

Xiaoshouyi / Neocrm MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Xiaoshouyi / Neocrm to Pydantic AI via MCP:

01

create_lead

Create a new lead

02

create_opportunity

Create a new opportunity

03

get_lead

Get lead details

04

list_accounts

List CRM accounts

05

list_contacts

List CRM contacts

06

list_leads

List CRM leads

07

list_opportunities

List sales opportunities

08

list_tasks

List CRM tasks

09

list_users

List organization users

Example Prompts for Xiaoshouyi / Neocrm in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Xiaoshouyi / Neocrm immediately.

01

"List all my active leads from Xiaoshouyi."

02

"Create a new opportunity for account 'Tech Giant' titled 'Enterprise License Renewal'."

03

"Show me a summary of my CRM activity for this week."

Troubleshooting Xiaoshouyi / Neocrm MCP Server with Pydantic AI

Common issues when connecting Xiaoshouyi / Neocrm to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Xiaoshouyi / Neocrm + Pydantic AI FAQ

Common questions about integrating Xiaoshouyi / Neocrm MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Xiaoshouyi / Neocrm MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Xiaoshouyi / Neocrm to Pydantic AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.