Bring Sms Marketing
to Google ADK
Learn how to connect Texter to Google ADK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Texter MCP Server?
Connect your Texter account to any AI agent and simplify how you manage customer conversations across WhatsApp, Instagram, and more through natural conversation.
What you can do
- Chat Management — List all active chats and retrieve detailed metadata and history for specific conversations.
- Omichannel Messaging — Send session messages to active chats or use pre-approved templates for new outreach.
- Conversation Control — Resolve or close chats and apply labels for better organization and tracking.
- Workspace Oversight — List departments, labels, and connected messaging channels (WhatsApp, Instagram, etc.).
- Template Automation — Send localized template messages with dynamic components directly via AI.
- Team Coordination — Monitor active threads and manage chat assignments across your unified inbox.
How it works
1. Subscribe to this server
2. Enter your Texter API Token and Project ID (found in your workspace settings)
3. Start managing your unified messaging from Claude, Cursor, or any MCP client
Who is this for?
- Customer Support Teams — quickly respond to inquiries and resolve chats via simple AI commands.
- Sales & Marketing — automate the sending of template-based notifications and manage lead conversations directly.
- Operations Managers — monitor chat volume and verify channel connectivity without leaving the workspace.
Built-in capabilities (10)
Assign a label to a chat
Get chat details
). List connected channels
List all active chats
List departments
List chat labels
List messages in a chat
Resolve or close a chat
Send a message to an active chat
Send a WhatsApp/Messenger template message
Why Google ADK?
Google ADK natively supports Texter as an MCP tool provider. declare 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.
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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 Texter
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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 Texter tools with BigQuery, Vertex AI, and Cloud Functions
Texter in Google ADK
Texter and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Texter 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 | 3,400+ 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 Texter in Google ADK
The Texter 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 10 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
Texter for Google ADK
Every tool call from Google ADK to the Texter MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the history of a specific chat via AI?
Yes! Use the list_texter_messages tool and provide the Chat ID. Your agent will retrieve the complete message log for that conversation.
How do I send a WhatsApp template with parameters?
Use the send_texter_template action. Provide the destination number, Template ID, language, and a JSON array for the dynamic components to personalize the message.
Is it possible to assign a label to a conversation via AI?
Absolutely. Use the add_label_to_texter_chat tool. Provide the Chat ID and the Label ID to organize your inbox programmatically.
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.
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Update: pip install --upgrade google-adk