How do I find my Xiaoshouyi Client ID and Secret?

Log in to the Xiaoshouyi administration console, go to [PaaS Platform] → [App Management], and create a new application to generate your Client ID and Client Secret.

Can I filter leads by specific criteria?

Yes. When using the `list_leads` tool, you can provide an optional `filter` parameter to narrow down the results based on status, source, or other CRM fields.

Is it possible to create tasks for my team?

Yes, while the current tools focus on listing tasks, you can use the AI agent to coordinate assignments and update existing task statuses through the CRM's unified interface.

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

Name: Xiaoshouyi / Neocrm
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Xiaoshouyi / Neocrm through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "xiaoshouyi-neocrm": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Xiaoshouyi / Neocrm, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Xiaoshouyi / Neocrm through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Xiaoshouyi / Neocrm via MCP

Why Use LangChain with the Xiaoshouyi / Neocrm MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Xiaoshouyi / Neocrm MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Xiaoshouyi / Neocrm queries for multi-turn workflows

Xiaoshouyi / Neocrm + LangChain Use Cases

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

RAG with live data: combine Xiaoshouyi / Neocrm tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Xiaoshouyi / Neocrm, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Xiaoshouyi / Neocrm tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Xiaoshouyi / Neocrm tool call, measure latency, and optimize your agent's performance

Xiaoshouyi / Neocrm MCP Tools for LangChain (9)

These 9 tools become available when you connect Xiaoshouyi / Neocrm to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Xiaoshouyi / Neocrm + LangChain FAQ

Common questions about integrating Xiaoshouyi / Neocrm MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.