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FunnelCockpit MCP Server for LangChainGive LangChain instant access to 10 tools to Check Funnelcockpit Status, Create Contact, Get Account, and more

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect FunnelCockpit 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 App Connector for LangChain

The FunnelCockpit app connector for LangChain is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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({
        "funnelcockpit": {
            "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 FunnelCockpit, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

Connect your FunnelCockpit account to any AI agent and take full control of your sales funnels and automated marketing workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with FunnelCockpit 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

  • CRM & Contact Orchestration — List and manage your entire customer database programmatically, retrieving detailed profile metadata and contact tags
  • Email Marketing Intelligence — Programmatically retrieve your email lists and subscriber statuses to maintain a perfectly coordinated outreach strategy
  • Funnel & Page Monitoring — Access your complete directory of active funnels and pages to oversee your conversion architecture in real-time
  • Webinar Intelligence Discovery — Access real-time webinar registration metadata and attendee metrics directly through your agent for instant reporting
  • Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling

The FunnelCockpit 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.

All 10 FunnelCockpit tools available for LangChain

When LangChain connects to FunnelCockpit through Vinkius, your AI agent gets direct access to every tool listed below — spanning sales-funnels, landing-pages, email-sequences, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_funnelcockpit_status

Verify FunnelCockpit API connectivity

create_contact

Create a CRM contact

get_account

Get account info

get_contact

Get contact details

get_funnel

Get funnel details

list_campaigns

List all campaigns

list_contacts

List all CRM contacts

list_funnels

List all funnels

list_pages

List funnel pages

update_contact

Pass a JSON string of field-value pairs to modify. Update a CRM contact

Connect FunnelCockpit to LangChain via MCP

Follow these steps to wire FunnelCockpit into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 FunnelCockpit via MCP

Why Use LangChain with the FunnelCockpit MCP Server

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

01

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

FunnelCockpit + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for FunnelCockpit in LangChain

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

01

"List all active funnels in my FunnelCockpit account."

02

"Check for new CRM contacts added today."

03

"Show the registration count for the 'Upcoming Webinar'."

Troubleshooting FunnelCockpit MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

FunnelCockpit + LangChain FAQ

Common questions about integrating FunnelCockpit 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.