Campaign Monitor 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 Campaign Monitor 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 Campaign Monitor. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Campaign Monitor?"
)
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 Campaign Monitor MCP Server
Connect your Campaign Monitor account to any AI agent and orchestrate your email marketing, subscriber management, and multi-channel campaigns through natural conversation.
LlamaIndex agents combine Campaign Monitor 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 Oversight — List all your active subscribers and retrieve detailed profiles, including contact information and history.
- Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and statuses.
- Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement, ROI, and delivery rates.
- List Coordination — Access and list your contact lists and segments to ensure your audience is properly managed.
- Client & account Monitoring — Access core client information and templates managed within the platform.
- Subscriber Growth — Add new subscribers directly from your workspace with custom names and automated consent tracking.
The Campaign Monitor 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 Campaign Monitor to LlamaIndex via MCP
Follow these steps to integrate the Campaign Monitor 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 Campaign Monitor
Why Use LlamaIndex with the Campaign Monitor MCP Server
LlamaIndex provides unique advantages when paired with Campaign Monitor through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Campaign Monitor tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Campaign Monitor tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Campaign Monitor, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Campaign Monitor tools were called, what data was returned, and how it influenced the final answer
Campaign Monitor + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Campaign Monitor MCP Server delivers measurable value.
Hybrid search: combine Campaign Monitor real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Campaign Monitor 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 Campaign Monitor for fresh data
Analytical workflows: chain Campaign Monitor queries with LlamaIndex's data connectors to build multi-source analytical reports
Campaign Monitor MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Campaign Monitor to LlamaIndex via MCP:
add_subscriber
Add a new subscriber to a list
get_account_info
Retrieve core account information
get_campaign_performance
Retrieve performance summary for a specific campaign
get_client_details
Get details of a specific client
get_contact_list
Get details of a specific contact list
list_campaigns
List all campaigns for a client
list_clients
List all client accounts
list_contact_lists
List all contact lists for a specific client
list_email_templates
List all templates for a client
list_subscribers
List active subscribers in a list
Example Prompts for Campaign Monitor in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Campaign Monitor immediately.
"List all my clients in Campaign Monitor."
"Show the lists for client cli_123."
"Add Jane Smith (jane@example.com) to the 'Weekly Newsletter' list."
Troubleshooting Campaign Monitor MCP Server with LlamaIndex
Common issues when connecting Campaign Monitor to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCampaign Monitor + LlamaIndex FAQ
Common questions about integrating Campaign Monitor 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 Campaign Monitor 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 Campaign Monitor to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
