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Mail Blaze MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

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

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 Mail Blaze. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())
Mail Blaze
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Mail Blaze MCP Server

Connect your Mail Blaze account to any AI agent to automate your email marketing and audience management. This MCP server enables your agent to manage subscriber lists, create and send campaigns, and track subscriber updates directly from natural language interfaces.

LlamaIndex agents combine Mail Blaze tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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

  • Campaign Management — List all email campaigns and retrieve detailed metadata and status information
  • Instant Sending — Trigger the delivery of existing campaigns to your targeted lists instantly
  • List Oversight — Manage subscriber lists and retrieve their unique identifiers for grouping
  • Subscriber Control — Add, update, and remove subscribers from specific lists while managing custom fields
  • Draft Creation — Initialize new campaign drafts directly from your conversation to streamline your marketing workflow

The Mail Blaze MCP Server exposes 9 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 Mail Blaze to LlamaIndex via MCP

Follow these steps to integrate the Mail Blaze MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 9 tools from Mail Blaze

Why Use LlamaIndex with the Mail Blaze MCP Server

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

01

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

02

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

03

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

04

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

Mail Blaze + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Mail Blaze to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mail Blaze for fresh data

04

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

Mail Blaze MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Mail Blaze to LlamaIndex via MCP:

01

add_subscriber_to_list

Requires a list UID and subscriber data. Add a new subscriber to a list

02

create_new_campaign

Requires a JSON body with campaign details. Create a new email marketing campaign

03

delete_list_subscriber

Remove a subscriber from a list

04

get_campaign_details

Get details for a specific campaign

05

list_email_campaigns

List all email marketing campaigns

06

list_list_subscribers

List subscribers in a specific list

07

list_subscriber_lists

List all subscriber lists

08

send_email_campaign

Trigger the sending of a campaign

09

update_list_subscriber

Update an existing subscriber

Example Prompts for Mail Blaze in LlamaIndex

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

01

"List all active email campaigns in Mail Blaze."

02

"Add 'user@example.com' to my 'Main Leads' list (UID: 'lz987xyz')."

03

"Send the email campaign with UID 'cp456def'."

Troubleshooting Mail Blaze MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mail Blaze + LlamaIndex FAQ

Common questions about integrating Mail Blaze MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mail Blaze tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Mail Blaze to LlamaIndex

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.