Drip MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Drip 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"drip": {
"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 Drip, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Drip 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
- 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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Drip MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Drip via MCP
Why Use LangChain with the Drip MCP Server
LangChain provides unique advantages when paired with Drip through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Drip MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Drip queries for multi-turn workflows
Drip + LangChain Use Cases
Practical scenarios where LangChain combined with the Drip MCP Server delivers measurable value.
RAG with live data: combine Drip tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Drip, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Drip tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Drip tool call, measure latency, and optimize your agent's performance
Drip MCP Tools for LangChain (10)
These 10 tools become available when you connect Drip to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Drip to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDrip + LangChain FAQ
Common questions about integrating Drip MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.