How to Use the Drip MCP in LlamaIndex

Index your Drip data into LlamaIndex for grounded, context-aware marketing insights.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Drip MCP to LlamaIndex

Create your Vinkius account to connect Drip to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Drip with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index subscriber profiles in LlamaIndex

Turn your contact list into a searchable knowledge base. Use `list_subscribers` to pull data and let the agent index those records for semantic retrieval. This allows you to ask natural language questions about your audience. Instead of running rigid queries, you search your Drip data based on context and intent.

Ground responses with MCP Server data

Use this MCP Server to fetch live account information before generating answers. When you query for campaign status, the agent uses `list_campaigns` to get current, factual data. This prevents the model from guessing. The retrieved tool output serves as the grounding context for your RAG pipeline, ensuring accuracy.

Manage custom fields and tags

Keep your knowledge base synced with your marketing tags. Use `list_custom_fields` and `list_tags` to map out your account structure within the index. This makes your RAG application aware of how your account is organized. Your agent can then reason about which segments are relevant to specific user queries.

Setup guide

Set up Drip MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Drip MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Drip tools.",
)
response = await agent.run("List recent Drip data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Drip. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Drip now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Drip MCP in LlamaIndex

It acts as a tool spec within your agent. You fetch the tools, pass them to your workflow, and the system handles the data retrieval automatically.

Absolutely. Once the tools provide the data, you can index it into a vector store. This lets you perform semantic searches across your subscriber base.

The tools fetch live data from the API on demand. You control when the agent refreshes its index to ensure your answers reflect the latest account state.

Yes. You can use tool filters to restrict what the agent can access. This keeps your RAG application focused on the data you want it to see.

All data flows through an ephemeral sandbox. We only touch the subscriber records you explicitly request, and no persistent storage of your PII occurs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript