Can the agent automatically send emails on my behalf?

Yes. The integration natively wraps the `dispatch_email` mutation tool. If adequately prompted, the system will formulate HTML payloads and broadcast them assuming you explicitly provide the verified Sender Identity (from_email) corresponding to your account.

How do I remove an email block suppressing one of my clients?

You don't need to manually interact with the web app anymore. Dictate to the LLM: 'Unblock client@gmail.com from my bounce list'. The agent will instantly leverage `delete_bounce` removing the suspension logic behind the scenes.

Can I query spam complaints regarding my outgoing templates?

Absolutely. Utilize the command prompt sequence to call `list_spam_reports`. It retrieves detailed events pointing precisely to domains triggering those complaints, empowering you to adjust or purge bad contacts dynamically.

Twilio SendGrid MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Twilio SendGrid
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Twilio SendGrid as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="twilio_sendgrid_agent",
    instruction=(
        "You help users interact with Twilio SendGrid "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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

About Twilio SendGrid MCP Server

Unleash your AI agent over Twilio SendGrid's trusted enterprise email platform. Transform your chat interface into a fully-fledged communications command center. By implementing this MCP server, your LLM gains the power to investigate unaddressed hard bounces, dispatch highly contextual custom emails, and automatically organize sprawling marketing directories.

Google ADK natively supports Twilio SendGrid as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Live Email Dispatching — Dictate a tailored email to your agent and order it to use dispatch_email to send fully authenticated outbound HTML campaigns
Bounces & Suppression Auditing — Ask the AI to identify why recent deliveries failed using list_bounces and tell it to permanently pardon specific addresses via delete_bounce
Dynamic Template Inspection — Fetch all your stored transaction shells (list_dynamic_templates) and inspect precise structure iterations to verify UI before broadcasting
CRM Growth Automation — Continuously append or enrich subscriber details straight from conversational prompts by executing create_marketing_contact on the fly

The Twilio SendGrid MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Twilio SendGrid to Google ADK via MCP

Follow these steps to integrate the Twilio SendGrid MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Twilio SendGrid via MCP

Why Use Google ADK with the Twilio SendGrid MCP Server

Google ADK provides unique advantages when paired with Twilio SendGrid 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 Twilio SendGrid

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 Twilio SendGrid tools with BigQuery, Vertex AI, and Cloud Functions

Twilio SendGrid + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Twilio SendGrid MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Twilio SendGrid and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Twilio SendGrid tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Twilio SendGrid regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Twilio SendGrid

Twilio SendGrid MCP Tools for Google ADK (10)

These 10 tools become available when you connect Twilio SendGrid to Google ADK via MCP:

create_marketing_contact

Merges data if the contact already exists. Creates or updates a marketing contact

delete_bounce

This action is destructive on the suppression record. Removes an email from the bounce suppression list

dispatch_email

Ensure you use a verified sender email in "from_email". Sends an email via SendGrid SMTP relay

get_template_details

Retrieves details for a specific template

list_bounces

Useful for list cleaning. Lists all bounced email records

list_dynamic_templates

List all Dynamic Transactional Templates

list_global_unsubscribes

Lists global unsubscribes

list_marketing_contacts

Lists all marketing contacts

list_marketing_lists

Lists all marketing contact lists

list_spam_reports

Lists user-reported spam complaints

Example Prompts for Twilio SendGrid in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Twilio SendGrid immediately.

"Using the SendGrid API, list emails that have bounced recently to audit our hygiene."

"Dispatch an HTML email from 'marketing@mybrand.com' to 'client@test.com' with subject 'Special Delivery'. Use standard <h1>."

"Audit the Dynamic Transactional Templates list. Summarize findings."

Troubleshooting Twilio SendGrid MCP Server with Google ADK

Common issues when connecting Twilio SendGrid to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Twilio SendGrid + Google ADK FAQ

Common questions about integrating Twilio SendGrid MCP Server with Google ADK.

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.

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.

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.