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Fxiaoke MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

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({
        "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())
Fxiaoke
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 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.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

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

02

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

03

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

04

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.

01

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

02

Autonomous research agents: LangChain agents query Fxiaoke, synthesize findings, and generate comprehensive research reports

03

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

04

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:

01

create_lead

Create a new Fxiaoke lead

02

create_opportunity

Create a new Fxiaoke opportunity

03

get_approval_details

Get approval details

04

list_accounts

List Fxiaoke accounts

05

list_approvals

List approval instances

06

list_contacts

List Fxiaoke contacts

07

list_leads

List Fxiaoke leads

08

list_opportunities

List Fxiaoke opportunities

09

list_sales_tasks

List Fxiaoke sales tasks

10

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.

01

"List all active leads in my Fxiaoke CRM."

02

"Check the status of recent approval requests."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fxiaoke + LangChain FAQ

Common questions about integrating Fxiaoke MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Fxiaoke to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.