Bring Crm Automation
to Google ADK
Learn how to connect Quentn to Google ADK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Quentn MCP Server?
Connect your Quentn account to any AI agent and take full control of your CRM orchestration and marketing automation through natural conversation. Quentn provides a powerful platform for managing customer relationships and complex marketing sequences, and this integration allows you to retrieve contact metadata, trigger campaign sequences, and manage tags (terms) directly from your chat interface.
What you can do
- Contact & CRM Orchestration — List, create, and update contacts with detailed profile metadata programmatically to ensure your sales database is always synchronized.
- Campaign Lifecycle Management — Access and monitor your marketing campaigns and trigger specific sequences for contacts directly from the AI interface.
- Tag & Segment Control — Manage terms (tags) to maintain a clear overview of your audience segmentation via natural language.
- Omnichannel Communication — Send automated emails through the Quentn system to ensure consistent customer engagement.
- Operational Monitoring — Track system activity and manage custom fields to ensure your marketing stack is always optimized using simple AI commands.
How it works
1. Subscribe to this server
2. Enter your Quentn API Key and unique Base URL from your API Info settings
3. Start managing your CRM and campaigns from Claude, Cursor, or any MCP-compatible client
No more manual contact entry or searching through sequences. Your AI acts as a dedicated marketing automation manager or CRM coordinator.
Who is this for?
- Marketing Managers — quickly retrieve campaign statuses and monitor segment growth without switching apps.
- Sales Teams — automate the management of lead records and track interaction history via natural conversation.
- Operations Teams — streamline the retrieval of contact metadata and monitor organizational health directly within the chat.
Built-in capabilities (11)
Create a new contact
Delete a contact
Get campaign details
Get contact details by ID
Get details for a specific tag
List all campaigns
List all contacts
List all tags/terms
List system users
Send an email to a contact
Update an existing contact
Why Google ADK?
Google ADK natively supports Quentn 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.
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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 Quentn
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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 Quentn tools with BigQuery, Vertex AI, and Cloud Functions
Quentn in Google ADK
Quentn and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Quentn 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 Quentn in Google ADK
The Quentn 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 11 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
Quentn for Google ADK
Every tool call from Google ADK to the Quentn MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the details for a specific contact just by providing their ID?
Yes! Use the get_contact tool. Your agent will respond with complete metadata, including tags, custom fields, and engagement history in seconds.
Where do I find my Quentn Base URL?
Log in to Quentn, go to My Account > API Info. Your unique base URL follows the pattern https://..quentn.com/public/api/V1.
How do I add a tag to a contact?
Use the update_contact tool and include the new tag in the 'terms' field of the request body.
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