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Vinkius
Google ADKSDK
Google ADK
MJML (Email Markup) MCP Server

Bring Email Templates
to Google ADK

Learn how to connect MJML (Email Markup) to Google ADK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Render Mjml

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
MJML (Email Markup)

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

  1. Subscribe to this server
  2. Enter your MJML Application ID and API Key
  3. 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)

render_mjml

Provide the raw MJML XML or JSON string. Render MJML markup to responsive HTML

Why Google ADK?

Google ADK natively supports MJML (Email Markup) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with MJML (Email Markup)

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine MJML (Email Markup) tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

MJML (Email Markup) in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

MJML (Email Markup) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect MJML (Email Markup) to Google ADK 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for MJML (Email Markup) in Google ADK

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 Google ADK 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.

MJML (Email Markup)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

How Vinkius secures MJML (Email Markup) for Google ADK

Every tool call from Google ADK to the MJML (Email Markup) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

05

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

06

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

07

McpToolset not found

Update: pip install --upgrade google-adk

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