GetResponse MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GetResponse 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 MCP SERVER
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 GetResponse. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in GetResponse?"
)
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 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.
LlamaIndex agents combine GetResponse 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.
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 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 GetResponse to LlamaIndex via MCP
Follow these steps to integrate the GetResponse 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 12 tools from GetResponse
Why Use LlamaIndex with the GetResponse MCP Server
LlamaIndex provides unique advantages when paired with GetResponse through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GetResponse tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GetResponse tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GetResponse, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GetResponse tools were called, what data was returned, and how it influenced the final answer
GetResponse + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GetResponse MCP Server delivers measurable value.
Hybrid search: combine GetResponse real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GetResponse 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 GetResponse for fresh data
Analytical workflows: chain GetResponse queries with LlamaIndex's data connectors to build multi-source analytical reports
GetResponse MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect GetResponse to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting GetResponse to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGetResponse + LlamaIndex FAQ
Common questions about integrating GetResponse 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 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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.