Postmark MCP Server for Google ADKGive Google ADK instant access to 11 tools to Get Delivery Stats, Get Outbound Stats, Get Server Info, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Postmark as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Postmark MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="postmark_extended_agent",
instruction=(
"You help users interact with Postmark "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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 Postmark MCP Server
Connect your Postmark account to any AI agent and simplify your transactional email management, deliverability tracking, and template orchestration through natural conversation.
Google ADK natively supports Postmark as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Email Delivery — Send single or bulk transactional emails programmatically directly from your agent using verified signatures
- Template Management — Query and manage your catalog of email templates to ensure consistent messaging across your server
- Bounce Tracking — Access a history of bounced emails and monitor deliverability issues in real-time
- Server & Account Control — List and manage your Postmark servers and account settings programmatically
- Engagement Insights — Access aggregate performance analytics, including sent and open metrics
The Postmark MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Postmark tools available for Google ADK
When Google ADK connects to Postmark through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, email-delivery, template-management, 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.
Get delivery stats on Postmark
Get email delivery statistics
Get outbound stats on Postmark
Get outbound delivery stats
Get server info on Postmark
Get Postmark server configuration
Get template on Postmark
Get details for a specific email template
List account servers on Postmark
List account servers
List bounces on Postmark
List recent email bounces
List domains on Postmark
List all verified sending domains
List email templates on Postmark
List email templates
List outbound messages on Postmark
List sent messages
Send batch email on Postmark
Send emails in batch
Send email on Postmark
Send a single email
Connect Postmark to Google ADK via MCP
Follow these steps to wire Postmark into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Postmark MCP Server
Google ADK provides unique advantages when paired with Postmark through the Model Context Protocol.
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 Postmark
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 Postmark tools with BigQuery, Vertex AI, and Cloud Functions
Postmark + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Postmark MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Postmark and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Postmark tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Postmark regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Postmark
Example Prompts for Postmark in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Postmark immediately.
"Send a transactional email from support@example.com to john@doe.com with subject 'Reset Password'."
"Show me all email bounces from the last 7 days and identify the main failure patterns."
"Send a transactional welcome email to new user sarah@meridian.io using the onboarding template."
Troubleshooting Postmark MCP Server with Google ADK
Common issues when connecting Postmark to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPostmark + Google ADK FAQ
Common questions about integrating Postmark MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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