How to Use the Mail Blaze MCP in LlamaIndex

Q: How can I use Mail Blaze and LlamaIndex to find old campaign details?

Use the McpToolSpec to load the tools. LlamaIndex can then call listemailcampaigns and getcampaigndetails to index the data, making it searchable.

Q: Can LlamaIndex help me manage subscribers in Mail Blaze?

Yes. You can index your subscribers using listlistsubscribers. Then, your agent can query that index to find specific users before calling updatelistsubscriber.

Q: What's the setup for the Mail Blaze MCP Server with LlamaIndex?

Install the llama-index-tools-mcp package. Then, point the BasicMCPClient at your server URL and use McpToolSpec to generate the tools for your agent.

Turn your Mail Blaze history into a searchable knowledge base. Build smarter RAG apps with LlamaIndex that know your campaign data.

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Connect Mail Blaze MCP to LlamaIndex

Create your Vinkius account to connect Mail Blaze 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 Mail Blaze with LlamaIndex

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Query Your Campaign History

This toolset lets LlamaIndex ingest your entire campaign history. It calls `list_email_campaigns` and `get_campaign_details` for every campaign you've run, then indexes the content, subject lines, and metadata into a vector store. Now you can ask plain English questions. "Which campaigns did we send about the new feature in May?" or "Show me subject lines with the highest open rates." You get answers grounded in your actual Mail Blaze data, not hallucinations.

Ground Actions in Subscriber Intelligence

Stop making blind API calls. Use LlamaIndex to create a searchable index of your audience by fetching data with `list_subscriber_lists` and `list_list_subscribers`. This gives your agent a complete, queryable view of your subscribers. Before your agent calls `update_list_subscriber` or `add_subscriber_to_list`, it can query the index to find the right user segment first. This means your actions are based on real-time context from your list data.

Build RAG Apps on Your MCP Server

LlamaIndex excels at combining different data sources. Use it to connect your internal documents with the Mail Blaze MCP Server. Your agent can read a new blog post from your knowledge base and then use `create_new_campaign` to draft a newsletter about it. This is how RAG gets things done. LlamaIndex provides the context from your documents, and the Mail Blaze tools provide the ability to act on that context. It connects your knowledge to your marketing automation.

Setup guide

Set up Mail Blaze 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 Mail Blaze 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 Mail Blaze tools.",
)
response = await agent.run("List recent Mail Blaze 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 Mail Blaze. 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 Mail Blaze MCP in LlamaIndex

Use the `McpToolSpec` to load the tools. LlamaIndex can then call `list_email_campaigns` and `get_campaign_details` to index the data, making it searchable.

Yes. You can index your subscribers using `list_list_subscribers`. Then, your agent can query that index to find specific users before calling `update_list_subscriber`.

Install the `llama-index-tools-mcp` package. Then, point the `BasicMCPClient` at your server URL and use `McpToolSpec` to generate the tools for your agent.

Absolutely. That's the point of RAG. Index your PDFs or text files alongside the data fetched from tools like `get_campaign_details` for a unified knowledge base.

LlamaIndex will only index the subscriber data you tell it to fetch. If you run a query using `list_list_subscribers`, that data (names, emails) is loaded into your application's memory for indexing. The Vinkius-managed connection itself is secured and ephemeral.

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