Compatible with every major AI agent and IDE
What is the MJML (Email Markup) MCP Server?
Connect the MJML engine to your AI agent to generate professional, responsive email templates using natural language. MJML is the industry standard for ensuring emails look great across all clients like Outlook, Gmail, and Apple Mail.
What you can do
- Responsive Rendering — Convert MJML XML or JSON strings into production-ready HTML in seconds
- Email Prototyping — Rapidly iterate on email designs within your chat or code editor
- Best Practices — Ensure your markup follows email client standards automatically without manual table hacking
How it works
- Subscribe to this server
- Enter your MJML Application ID and API Key
- Start rendering email markup from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — Generate email HTML without leaving the IDE or dealing with complex CSS inlining
- Marketing Teams — Quickly preview how MJML-based campaigns will look before deployment
- Designers — Validate MJML syntax and see immediate visual results through the AI presenter
Built-in capabilities (1)
Provide the raw MJML XML or JSON string. Render MJML markup to responsive HTML
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from MJML (Email Markup) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MJML (Email Markup), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
MJML (Email Markup) in OpenAI Agents SDK
MJML (Email Markup) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect MJML (Email Markup) to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for MJML (Email Markup) in OpenAI Agents SDK
The MJML (Email Markup) 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
MJML (Email Markup) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the MJML (Email Markup) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I render MJML from a JSON string instead of XML?
Yes! The render_mjml tool accepts both raw MJML XML and MJML JSON strings. The engine will automatically detect the format and transpile it into responsive HTML.
What is the maximum size of the generated HTML output?
The integration supports an egress limit of up to 5MB, which is more than enough for even the most complex and content-heavy responsive email templates.
Does the tool validate my MJML syntax during rendering?
Yes, the render_mjml tool uses the official MJML engine which performs validation during the transpilation process to ensure the resulting HTML is compliant with email client best practices.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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