Mailjet MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create New Contact, Get Account Analytics, Get Campaign Performance, and more
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.
Ask AI about this MCP Server for LlamaIndex
The Mailjet MCP Server for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 12 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 and manage email operations through natural conversation.
LlamaIndex agents combine Mailjet tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Email Sending — Send transactional and marketing emails at scale
- Contact Management — Manage contact lists with properties and segmentation
- Template Management — Browse, create, and manage email templates
- Delivery Analytics — Track opens, clicks, bounces, and spam reports
- Campaign Management — Create and monitor email campaigns
- Statistics — Access detailed sending statistics and trends
The Mailjet MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Mailjet tools available for LlamaIndex
When LlamaIndex connects to Mailjet through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, contact-management, template-builder, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create new contact on Mailjet
Add email to contacts
Get account analytics on Mailjet
Check account stats
Get campaign performance on Mailjet
) for a specific campaign ID. Check campaign stats
Get template details on Mailjet
Get template content
List all contacts on Mailjet
List audience contacts
List contact groups on Mailjet
List contact lists
List email templates on Mailjet
List saved templates
List sender domains on Mailjet
Check sending domains
List sent campaigns on Mailjet
List past campaigns
Send plain email on Mailjet
Send transactional email
Send template email on Mailjet
Send using template
Subscribe to list on Mailjet
Add contact to list
Connect Mailjet to LlamaIndex via MCP
Follow these steps to wire Mailjet into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
Example Prompts for Mailjet in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailjet immediately.
"Show sending statistics and contact list summary."
"List email templates and send a transactional email."
"Show campaign performance and bounce analysis."
Troubleshooting Mailjet MCP Server with LlamaIndex
Common issues when connecting Mailjet to LlamaIndex through 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?
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