Can I check the statistics for a specific campaign using the agent?

Yes! Use the `get_campaign_stats` tool with the Campaign ID. Your agent will fetch the detailed performance data, including open rates, clicks, and bounces, directly from Campaigner.

How do I list all the subscribers in my account?

Simply ask the agent to `list_subscribers`. It will retrieve the list of contacts from your Campaigner account, including their status and primary details.

Does the integration allow adding a new subscriber?

Yes. Use the `create_subscriber` action and provide the email address. The contact will be added to your Campaigner account immediately.

Campaigner MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Campaigner
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Campaigner as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Campaigner. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Campaigner?"
    )
    print(response)

asyncio.run(main())

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About Campaigner MCP Server

Connect your Campaigner account to any AI agent and orchestrate your email marketing, subscriber management, and multi-channel campaigns through natural conversation.

LlamaIndex agents combine Campaigner 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 subscribers and retrieve detailed profiles, including contact information and history.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and automated workflows.
Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement and ROI.
Publication Coordination — Access and list your 'Publications' (contact lists) to ensure your audience segments are properly managed.
Workflow & Segment Monitoring — List automated workflows and audience segments directly from your workspace.
Subscriber Growth — Create and add new subscribers to your account using natural language.

The Campaigner 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 Campaigner to LlamaIndex via MCP

Follow these steps to integrate the Campaigner 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 Campaigner

Why Use LlamaIndex with the Campaigner MCP Server

LlamaIndex provides unique advantages when paired with Campaigner through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Campaigner tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Campaigner tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Campaigner, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Campaigner tools were called, what data was returned, and how it influenced the final answer

Campaigner + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Campaigner MCP Server delivers measurable value.

Hybrid search: combine Campaigner real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Campaigner 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 Campaigner for fresh data

Analytical workflows: chain Campaigner queries with LlamaIndex's data connectors to build multi-source analytical reports

Campaigner MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Campaigner to LlamaIndex via MCP:

create_subscriber

Add a new subscriber to Campaigner

get_account_info

Retrieve core account information

get_campaign

Get details of a specific campaign

get_campaign_stats

Retrieve performance statistics for a campaign

get_subscriber

Get details of a specific subscriber by email

list_campaigns

List all email campaigns

list_publications

List all publications/contact lists

list_segments

List configured audience segments

list_subscribers

List all newsletter subscribers

list_workflows

List automated workflows

Example Prompts for Campaigner in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Campaigner immediately.

"List all my email campaigns in Campaigner."

"Show the stats for campaign ID 12345."

"Search for subscriber with email john.doe@example.com."

Troubleshooting Campaigner MCP Server with LlamaIndex

Common issues when connecting Campaigner to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Campaigner + LlamaIndex FAQ

Common questions about integrating Campaigner MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Campaigner tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.