GetResponse MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect GetResponse 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({
"getresponse": {
"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 GetResponse, 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 GetResponse MCP Server
Connect your GetResponse account to any AI agent to automate your email marketing and audience engagement workflows through the Model Context Protocol (MCP). GetResponse is a scalable email marketing platform that helps businesses grow their lists and automate communication. This MCP server enables you to manage your mailing lists (campaigns), track subscriber profiles, and monitor newsletter performance directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with GetResponse through native MCP adapters. Connect 12 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.
Key Features
- Campaign & List Oversight — List all mailing lists (campaigns) in your account and fetch detailed configuration metadata for each.
- Subscriber Management — Search and list contacts, retrieve detailed profile metadata, and programmatically add new subscribers to your lists.
- Newsletter Tracking — Access your history of sent and scheduled newsletters to monitor your broadcast strategy.
- Performance Analytics — Retrieve high-level statistics (opens, clicks, bounces) for your newsletters to measure engagement.
- Automation Discovery — List configured marketing automation workflows and signup forms to understand your lead acquisition funnel.
- Webhook Monitoring — List active webhooks to ensure your internal systems are receiving real-time campaign notifications.
- Account Identity — Fetch metadata for the authenticated GetResponse account to verify permissions and settings.
- Real-time Synchronization — Keep your marketing data accessible to your AI assistant without leaving your primary workspace.
The GetResponse MCP Server exposes 12 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 GetResponse to LangChain via MCP
Follow these steps to integrate the GetResponse 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 12 tools from GetResponse via MCP
Why Use LangChain with the GetResponse MCP Server
LangChain provides unique advantages when paired with GetResponse through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine GetResponse 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 GetResponse queries for multi-turn workflows
GetResponse + LangChain Use Cases
Practical scenarios where LangChain combined with the GetResponse MCP Server delivers measurable value.
RAG with live data: combine GetResponse tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query GetResponse, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain GetResponse tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every GetResponse tool call, measure latency, and optimize your agent's performance
GetResponse MCP Tools for LangChain (12)
These 12 tools become available when you connect GetResponse to LangChain via MCP:
add_new_subscriber
Sync a contact
get_account_details
Get account metadata
get_campaign_details
Get campaign metadata
get_contact_details
Get contact metadata
get_newsletter_analytics
Get broadcast stats
list_marketing_campaigns
List campaigns/lists
list_marketing_contacts
List subscribers
list_marketing_forms
List signup forms
list_marketing_newsletters
List newsletters
list_marketing_webhooks
List webhook configs
list_marketing_workflows
List automation flows
verify_api_connection
Check connection
Example Prompts for GetResponse in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with GetResponse immediately.
"List all my email campaigns/lists in GetResponse."
"Show me the performance stats for my last newsletter."
"Add 'John Doe' (john@example.com) to the 'Newsletter' list (ID: abc123)."
Troubleshooting GetResponse MCP Server with LangChain
Common issues when connecting GetResponse to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGetResponse + LangChain FAQ
Common questions about integrating GetResponse 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 GetResponse 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 GetResponse to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.