3,400+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FunnelCockpit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The FunnelCockpit app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to FunnelCockpit. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in FunnelCockpit?"
    )
    print(response)

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.

LlamaIndex agents combine FunnelCockpit tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from FunnelCockpit

Why Use LlamaIndex with the FunnelCockpit MCP Server

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

01

Data-first architecture: LlamaIndex agents combine FunnelCockpit tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain FunnelCockpit tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query FunnelCockpit, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what FunnelCockpit tools were called, what data was returned, and how it influenced the final answer

FunnelCockpit + LlamaIndex Use Cases

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

01

Hybrid search: combine FunnelCockpit real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query FunnelCockpit to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying FunnelCockpit for fresh data

04

Analytical workflows: chain FunnelCockpit queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for FunnelCockpit in LlamaIndex

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

FunnelCockpit + LlamaIndex FAQ

Common questions about integrating FunnelCockpit MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query FunnelCockpit tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.