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Vinkius

ClickFunnels MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ClickFunnels through the 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({
        "clickfunnels": {
            "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 ClickFunnels, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
ClickFunnels
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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 ClickFunnels MCP Server

Connect your ClickFunnels 2.0 account to any AI agent and take full control of your sales funnels and marketing automation through natural conversation. Streamline how you monitor your business growth natively.

LangChain's ecosystem of 500+ components combines seamlessly with ClickFunnels through native MCP adapters. Connect 8 tools via the 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

  • Funnel Oversight — List and retrieve details for all sales funnels and their constituent steps natively
  • Contact Intelligence — Access and monitor all identified contacts and leads within your workspaces flawlessly
  • Team & Workspace Management — List all teams and workspaces associated with your account securely
  • Order Tracking — Access and review customer orders and transactional history flawlessly
  • Product Logistics — List products and offers available in your funnels flawlessly
  • Growth Visibility — Retrieve detailed funnel metadata and performance metrics directly within your workspace

The ClickFunnels MCP Server exposes 8 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 ClickFunnels to LangChain via MCP

Follow these steps to integrate the ClickFunnels 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 8 tools from ClickFunnels via MCP

Why Use LangChain with the ClickFunnels MCP Server

LangChain provides unique advantages when paired with ClickFunnels through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine ClickFunnels 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 ClickFunnels queries for multi-turn workflows

ClickFunnels + LangChain Use Cases

Practical scenarios where LangChain combined with the ClickFunnels MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

ClickFunnels MCP Tools for LangChain (8)

These 8 tools become available when you connect ClickFunnels to LangChain via MCP:

01

create_contact

Create contact

02

get_contact

Get contact

03

get_order

Get order

04

list_contacts

List contacts

05

list_funnels

List funnels

06

list_orders

List orders

07

list_tags

List tags

08

list_workflows

List workflows

Example Prompts for ClickFunnels in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with ClickFunnels immediately.

01

"List all my sales funnels in workspace 'ws_12345'."

02

"Show me the last 5 orders from my 'E-book' funnel."

03

"Who are the newest leads in my workspace?"

Troubleshooting ClickFunnels MCP Server with LangChain

Common issues when connecting ClickFunnels to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ClickFunnels + LangChain FAQ

Common questions about integrating ClickFunnels 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 ClickFunnels to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.