Mailjet MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mailjet as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Mailjet. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Mailjet?"
)
print(response)
asyncio.run(main())
* 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 Mailjet MCP Server
Connect your Mailjet account to any AI agent to automate your transactional messaging and email marketing workflows. This MCP server enables your agent to send emails using the v3.1 Send API, manage subscriber lists, and track campaign performance directly from natural language interfaces.
LlamaIndex agents combine Mailjet tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Transactional Delivery — Send single or batch emails with full support for HTML, attachments, and variables
- Audience Management — List all contacts, create new subscriber records, and manage contact lists (address books)
- Subscription Control — Add or remove contacts from specific lists and manage opt-in statuses programmatically
- Campaign Tracking — List historical campaigns and retrieve real-time performance statistics (opens, clicks, bounces)
- Metadata Oversight — Fetch detailed configuration and status for any campaign or subscriber collection
The Mailjet MCP Server exposes 8 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 Mailjet to LlamaIndex via MCP
Follow these steps to integrate the Mailjet 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 8 tools from Mailjet
Why Use LlamaIndex with the Mailjet MCP Server
LlamaIndex provides unique advantages when paired with Mailjet through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mailjet tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mailjet tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mailjet, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mailjet tools were called, what data was returned, and how it influenced the final answer
Mailjet + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mailjet MCP Server delivers measurable value.
Hybrid search: combine Mailjet real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mailjet 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 Mailjet for fresh data
Analytical workflows: chain Mailjet queries with LlamaIndex's data connectors to build multi-source analytical reports
Mailjet MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Mailjet to LlamaIndex via MCP:
add_contact_to_list
Requires list ID and contact ID/Email. Subscribe a contact to a specific list
create_new_contact
Requires at least an Email address. Add a new contact to the database
get_campaign_details
Get details for a specific campaign
get_campaign_performance
Get performance statistics for a campaign
list_all_contacts
List all contacts in the Mailjet account
list_marketing_campaigns
List all campaigns
list_subscriber_lists
List all contact lists
send_transactional_email
Requires a JSON body matching Mailjet v3.1 Send API structure. Send an email using Mailjet Send API v3.1
Example Prompts for Mailjet in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailjet immediately.
"Send a transactional email to 'passenger@example.com' with subject 'Boarding Pass'."
"List all active contact lists in my Mailjet account."
"Show performance stats for campaign ID '12345'."
Troubleshooting Mailjet MCP Server with LlamaIndex
Common issues when connecting Mailjet to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailjet + LlamaIndex FAQ
Common questions about integrating Mailjet MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mailjet with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Mailjet to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.