Xiaoshouyi / Neocrm MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Xiaoshouyi / Neocrm integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Xiaoshouyi / Neocrm with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Xiaoshouyi / Neocrm tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Xiaoshouyi / Neocrm and output structured, schema-compliant notifications
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:
create_lead
Create a new lead
create_opportunity
Create a new opportunity
get_lead
Get lead details
list_accounts
List CRM accounts
list_contacts
List CRM contacts
list_leads
List CRM leads
list_opportunities
List sales opportunities
list_tasks
List CRM tasks
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.
"List all my active leads from Xiaoshouyi."
"Create a new opportunity for account 'Tech Giant' titled 'Enterprise License Renewal'."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiXiaoshouyi / Neocrm + Pydantic AI FAQ
Common questions about integrating Xiaoshouyi / Neocrm MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Xiaoshouyi / Neocrm with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
