Bring Whatsapp Marketing
to Google ADK
Learn how to connect QuickReply.ai Alternative to Google ADK and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the QuickReply.ai Alternative MCP Server?
Connect QuickReply.ai to your AI agent and orchestrate your WhatsApp marketing and customer communication through natural conversation.
What you can do
- Automated Journeys — Trigger personalized WhatsApp journeys using the
trigger_journey_eventtool with specific receiver IDs. - Template Messaging — Send pre-approved WhatsApp templates with dynamic variables using
send_templatefor official notifications. - Session Conversations — Send free-form text and images within the 24-hour service window using
send_session_message. - Drip Campaigns — Schedule and trigger automated drip sequences for user nurturing with
trigger_drip_campaign. - Performance Analytics — Retrieve detailed message-level statistics and insights using
fetch_campaign_stats.
How it works
- Subscribe to this server
- Enter your QuickReply.ai Client ID and Secret Key
- Start managing your WhatsApp outreach from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Managers — Launch campaigns and track performance without switching between multiple dashboards.
- Customer Support Teams — Respond to users with session messages and send automated updates via templates.
- Sales & Growth Leads — Automate lead nurturing journeys and follow-up sequences directly through AI orchestration.
Built-in capabilities (5)
Note: This API will sunset in June 2026. Fetch campaign messages stats
Send a free-form session message
Send a pre-approved WhatsApp template
Note: This API will sunset in June 2026. Trigger a specific drip campaign for a user
This is the recommended way to trigger messages. Trigger a journey via Webhook Data Source
Why Google ADK?
Google ADK natively supports QuickReply.ai Alternative as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with QuickReply.ai Alternative
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine QuickReply.ai Alternative tools with BigQuery, Vertex AI, and Cloud Functions
QuickReply.ai Alternative in Google ADK
QuickReply.ai Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect QuickReply.ai Alternative 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.
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 QuickReply.ai Alternative in Google ADK
The QuickReply.ai Alternative 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 5 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.
* 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
QuickReply.ai Alternative for Google ADK
Every tool call from Google ADK to the QuickReply.ai Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I trigger a WhatsApp journey using a webhook receiver ID?
Yes! Use the trigger_journey_event tool with the specific receiver ID generated from your Webhook Data Source. You can also pass custom fields to personalize the journey.
How do I send a pre-approved WhatsApp template with variables?
Use the send_template tool. Provide the template_id, the recipient's phone number, and an array of params to replace the variables in your template body.
Can I send free-form text messages to customers?
Yes, as long as it is within the 24-hour service window. Use the send_session_message tool to send text and optional images to your users.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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