Drip MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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 10 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
Connect your Drip account to any AI agent and take full control of your e-commerce CRM and marketing automation through natural conversation.
LlamaIndex agents combine Drip 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
- Subscriber Management — List and search for subscribers to retrieve emails, tags, custom fields, lead scores, and lifecycle stages natively
- Provisioning & Tagging — Create or update subscriber profiles and apply or remove tags strictly to drive your automation and segmentation logic
- Workflow Orchestration — List all automation workflows and trigger absolute response routing to start subscribers onto an executing node loop
- Campaign Auditing — Retrieve explicit arrays detailing specific email series campaigns, including statuses and subscriber counts
- Event Tracking — Inject raw telemetry logs to record custom events (like 'Purchased' or 'Visited') generating hard tracking bindings for your automation
- Categorical Tagging — Identify precise active tag arrays spanning your account to manage your organizational segmentation boundaries
- Activity Monitoring — Analyze specific localized profiles decoding activity history to understand customer behavior limitlessly
The Drip 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.
How to Connect Drip to LlamaIndex via MCP
Follow these steps to integrate the Drip MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Drip
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
Drip MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Drip to LlamaIndex via MCP:
create_subscriber
Modifies `/v2/{account_id}/subscribers` resolving exact tags mapping. Create or update a Drip subscriber
get_subscriber
Returns full profile, tags, custom fields, lead score, and activity history. Get a Drip subscriber by email or ID
list_campaigns
Returns campaign IDs, names, statuses, and subscriber counts. List Drip email series campaigns
list_subscribers
Returns emails, tags, custom fields, and lifecycle stage. List Drip subscribers. Drip is an e-commerce CRM/email platform
list_tags
List all tags in your Drip account
list_workflows
Returns workflow IDs, names, and statuses (active/paused/draft). List Drip automation workflows
record_event
Events trigger automations. Record a custom event for a Drip subscriber
remove_tag
Drops the raw data tag relationship bypassing the standard UI triggers. Remove a tag from a Drip subscriber
start_workflow
Starts a subscriber onto an executing node loop. Start a subscriber on a Drip automation workflow
tag_subscriber
Tags drive automation and segmentation. Apply a tag to a Drip subscriber
Example Prompts for Drip in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Drip immediately.
"Search for subscriber info for: hello@example.com"
"Add tag 'Vip-Customer' to user: user@drip.com"
"List all active automation workflows"
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.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Drip with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Drip to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.