How to Use the Campaigner MCP in LlamaIndex

Q: Can LlamaIndex restrict which Campaigner tools the agent uses?

Yes. You can pass an allowedtools filter when setting up the MCP integration. This lets you expose getcampaignstats for reporting while blocking createsubscriber to prevent accidental edits.

Q: How do I index automated workflows from Campaigner?

Have your agent run listworkflows and listsegments. The framework pulls the configuration details and stores them in your index, making your routing rules searchable via natural language.

Turn your Campaigner marketing data into a searchable LlamaIndex knowledge base with this native integration.

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Connect Campaigner MCP to LlamaIndex

Create your Vinkius account to connect Campaigner to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Campaigner with LlamaIndex

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Index Campaigner MCP Server outputs

LlamaIndex treats APIs differently by turning live data into searchable vectors. You can configure a FunctionAgent to run `list_campaigns` and `get_campaign`, pulling the full text and metadata of every email you have sent. The framework embeds this content directly into your vector store. Now your users can ask questions about past messaging strategies. Instead of guessing, the agent runs a semantic search over the ingested campaign data. It retrieves exact phrasing from your historical sends and uses that context to write new copy.

Ground answers in live statistics

Marketing dashboards only show what you tell them to show. A LlamaIndex application can dynamically pull `get_campaign_stats` for specific sends and append those metrics to your knowledge graph. When someone asks which subject lines performed best last quarter, the answer comes from actual API data. This prevents the agent from hallucinating open rates or click-through numbers. By combining `list_publications` with performance metrics, your RAG setup understands exactly which audiences engage with specific content types.

Query subscriber profiles

Sales teams need deep context on individual leads before pitching. Your LlamaIndex setup can execute `get_subscriber` to pull a specific contact's engagement history. It merges this raw Campaigner data with CRM notes stored in your existing vector database. The result is a unified profile generated on the fly. If the sales rep wants to add a new contact to a specific list after the call, the agent simply fires `create_subscriber` using the McpToolSpec configuration.

Setup guide

Set up Campaigner MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Campaigner MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Campaigner tools.",
)
response = await agent.run("List recent Campaigner data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campaigner. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Campaigner MCP in LlamaIndex

Install llama-index-tools-mcp via pip. Initialize a BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and call to_tool_list_async() to pass the tools to your agent.

Yes. You can pass an allowed_tools filter when setting up the MCP integration. This lets you expose get_campaign_stats for reporting while blocking create_subscriber to prevent accidental edits.

That is exactly what it does. You extract campaign text and subscriber lists, then embed them. Your users query the vector store instead of hitting the API for every single question.

Have your agent run list_workflows and list_segments. The framework pulls the configuration details and stores them in your index, making your routing rules searchable via natural language.

Vinkius manages the connection via a zero-trust architecture. When your agent pulls names and email addresses, the data passes through a secure endpoint token without exposing your raw API keys to the client environment.

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