How to Use the Mailjet MCP in LlamaIndex

Q: How do I configure LlamaIndex with Mailjet?

Run pip install llama-index-tools-mcp. Setup a BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex index Mailjet campaign data?

Yes. The agent fetches historical data using listmarketingcampaigns and embeds the text. You can then run semantic queries against your past marketing efforts.

Q: How do I add new subscribers using LlamaIndex and Mailjet?

Your agent invokes createnewcontact with the extracted email. It can immediately follow up with addcontacttolist to segment the user properly.

Index your Mailjet campaign metrics and contact lists directly into LlamaIndex for semantic querying.

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Connect Mailjet MCP to LlamaIndex

Create your Vinkius account to connect Mailjet 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 Mailjet with LlamaIndex

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Query Campaign Performance

Build a searchable knowledge base out of your raw marketing stats by calling `get_campaign_performance` through the MCP Server. Your LlamaIndex application fetches the historical data and vectors the results alongside your internal documents. You can ask your agent why the Q3 newsletter underperformed. It pulls the exact open rates and bounce metrics from the index, cross-references them with your product updates, and gives you a grounded answer.

Semantic Search for Mailjet Contacts

Your agent runs `list_all_contacts` to index your entire subscriber directory for semantic search. You usually click through slow dashboards to find specific users. Now the data lives in your vector store. You type a plain English query looking for users who joined last week. The LlamaIndex FunctionAgent retrieves the data, filters it, and presents the exact list. It operates entirely in your terminal or IDE.

Trigger Emails from the MCP Server

After querying a specific user profile, the agent can immediately trigger `send_transactional_email`. RAG setups usually stop at reading data, but this integration lets you write back to the API. If a user asks for a password reset or an account summary, the agent compiles the indexed data and fires it off via the v3.1 API. You get read and write capabilities in one unified toolset.

Setup guide

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

Run `pip install llama-index-tools-mcp`. Setup a `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. The agent fetches historical data using `list_marketing_campaigns` and embeds the text. You can then run semantic queries against your past marketing efforts.

Your agent invokes `create_new_contact` with the extracted email. It can immediately follow up with `add_contact_to_list` to segment the user properly.

API calls add standard network latency. LlamaIndex handles the tool execution asynchronously, so your main event loop stays unblocked while fetching metrics.

Vinkius routes your traffic through a zero-trust architecture. Your email addresses and campaign stats transit the server memory during execution and vanish instantly. Nothing hits a disk.

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