Drip MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Apply Tag, Create Or Update Subscriber, Delete Subscriber, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Drip 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 Drip app connector for LlamaIndex is a standout in the Growth Engine category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Drip. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Drip?"
)
print(response)
asyncio.run(main())
* 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 Drip MCP Server
What you can do
- Retrieve and list your subscribers, custom fields, and tags.
- Create or update subscribers with precise tags and custom attributes.
- Record custom events to trigger Drip workflows dynamically.
- Fetch live metrics from your single-email campaigns and workflows.
LlamaIndex agents combine Drip tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
The Drip MCP Server exposes 12 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 12 Drip tools available for LlamaIndex
When LlamaIndex connects to Drip through Vinkius, your AI agent gets direct access to every tool listed below — spanning drip, email, marketing automation, 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.
Apply a tag to a subscriber
Pass the email address and optionally any custom fields or tags. Create or update a subscriber in Drip
This action is irreversible. Delete a subscriber from Drip permanently
Fetch a single subscriber by their ID or Email
List all Single-Email Campaigns (Broadcasts)
List all Email Series Campaigns
List all custom field identifiers
Use this to fetch all known contacts. List all subscribers in the Drip account
List all Tags used in the account
List all Workflows in Drip
You can pass additional properties associated with the event. Record a custom event for a subscriber in Drip
Unsubscribe a subscriber from all mailings
Connect Drip to LlamaIndex via MCP
Follow these steps to wire Drip into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Drip MCP Server
LlamaIndex provides unique advantages when paired with Drip through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Drip tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Drip tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Drip, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Drip tools were called, what data was returned, and how it influenced the final answer
Drip + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Drip MCP Server delivers measurable value.
Hybrid search: combine Drip real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Drip to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Drip for fresh data
Analytical workflows: chain Drip queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Drip in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Drip immediately.
"Create a new Drip subscriber with the email 'leads@example.com' and tag them as 'VIP'."
"List all active workflows in my Drip account."
"Record a custom event called 'Signed Up' for user 'john@doe.com' in Drip."
Troubleshooting Drip MCP Server with LlamaIndex
Common issues when connecting Drip to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDrip + LlamaIndex FAQ
Common questions about integrating Drip MCP Server with LlamaIndex.