Fxiaoke MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fxiaoke through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"fxiaoke": {
"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 Fxiaoke, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Fxiaoke MCP Server
Empower your AI agent to orchestrate your sales operations with Fxiaoke (纷享销客), the premier sales management and CRM platform in China. By connecting Fxiaoke to your agent, you transform complex pipeline tracking, lead management, and approval workflows into a natural conversation. Your agent can instantly list your leads, retrieve sales tasks, monitor approval statuses, and even audit team activity without you ever needing to navigate the complex Fxiaoke dashboard. Whether you are managing high-volume leads or complex B2B approval chains, your agent acts as a real-time sales operations assistant, keeping your CRM data accurate and your team aligned.
LangChain's ecosystem of 500+ components combines seamlessly with Fxiaoke through native MCP adapters. Connect 10 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 & Opportunity Tracking — List all active leads and sales opportunities to maintain a clear picture of your pipeline.
- Sales Task Management — Monitor and manage sales tasks and activities to keep your team productive.
- Approval Workflow Monitoring — List recent approval instances and retrieve detailed status information for rapid coordination.
- Account & Contact Control — Browse companies and individual contacts within your CRM ecosystem.
- Team Overview — Access organization user lists to manage assignments and participation effectively.
The Fxiaoke MCP Server exposes 10 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 Fxiaoke to LangChain via MCP
Follow these steps to integrate the Fxiaoke 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 10 tools from Fxiaoke via MCP
Why Use LangChain with the Fxiaoke MCP Server
LangChain provides unique advantages when paired with Fxiaoke through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fxiaoke 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 Fxiaoke queries for multi-turn workflows
Fxiaoke + LangChain Use Cases
Practical scenarios where LangChain combined with the Fxiaoke MCP Server delivers measurable value.
RAG with live data: combine Fxiaoke tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fxiaoke, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fxiaoke tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fxiaoke tool call, measure latency, and optimize your agent's performance
Fxiaoke MCP Tools for LangChain (10)
These 10 tools become available when you connect Fxiaoke to LangChain via MCP:
create_lead
Create a new Fxiaoke lead
create_opportunity
Create a new Fxiaoke opportunity
get_approval_details
Get approval details
list_accounts
List Fxiaoke accounts
list_approvals
List approval instances
list_contacts
List Fxiaoke contacts
list_leads
List Fxiaoke leads
list_opportunities
List Fxiaoke opportunities
list_sales_tasks
List Fxiaoke sales tasks
list_users
List Fxiaoke users
Example Prompts for Fxiaoke in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Fxiaoke immediately.
"List all active leads in my Fxiaoke CRM."
"Check the status of recent approval requests."
"Create a new lead for 'Mario' with mobile '13800000000'."
Troubleshooting Fxiaoke MCP Server with LangChain
Common issues when connecting Fxiaoke to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFxiaoke + LangChain FAQ
Common questions about integrating Fxiaoke MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Fxiaoke 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 Fxiaoke to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
