Bring Email Finding
to Google ADK
Learn how to connect Snov.io 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 Snov.io MCP Server?
Connect your Snov.io account to any AI agent and take full control of your lead generation and high-fidelity outreach orchestration through natural conversation.
What you can do
- Email Discovery Intelligence — Find all high-fidelity email addresses for a specific domain to identify key decision makers programmatically
- Prospect Portfolio Management — List saved prospect lists, retrieve detailed profile metadata, and add new leads directly through your agent
- Outreach Campaign Monitoring — Access your complete directory of high-fidelity marketing campaigns and monitor real-time performance analytics
- Identity Enrichment — Retrieve technical profile data for specific prospects using unique IDs or email addresses programmatically
- Real-time Webhook Access — Monitor configured high-fidelity notification streams and events directly through your agent for perfectly coordinated outreach
- Operational Monitoring — Verify account-level API connectivity and monitor lead orchestration volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API User ID and API Secret from your Snov.io account (Settings > API)
3. Start managing your growth metrics from Claude, Cursor, or any MCP client
No more manual lead entry or missing campaign gaps. Your AI acts as your dedicated growth coordinator and outreach architect.
Who is this for?
- Sales Managers — instantly retrieve prospect lists and campaign statuses using natural language commands without leaving your creative workspace
- Growth Engineers — automate high-fidelity domain searches and monitor lead verification to ensure healthy outreach operations
- Marketing Teams — analyze technical campaign analytics and monitor webhook events through simple AI queries
Built-in capabilities (10)
Add prospect to list
io API credentials. Check API Status
Find emails for a domain
Find email by name and domain
Get campaign analytics
Get prospect details by email
Get prospect details by ID
List outreach campaigns
List prospect lists
List account webhooks
Why Google ADK?
Google ADK natively supports Snov.io 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 Snov.io
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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 Snov.io tools with BigQuery, Vertex AI, and Cloud Functions
Snov.io in Google ADK
Snov.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Snov.io 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 Snov.io in Google ADK
The Snov.io 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
Snov.io for Google ADK
Every tool call from Google ADK to the Snov.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Snov.io API Credentials?
Log in to your account, navigate to Settings > API, and locate your unique API User ID and API Secret tokens.
Can I check campaign analytics via AI?
Yes! The get_snovio_campaign_analytics tool allows your agent to retrieve high-fidelity performance data and conversion metrics for any specific campaign.
How do I list my prospect lists?
Use the list_snovio_prospect_lists tool to retrieve the complete high-fidelity directory of lists along with their unique identifiers for precise orchestration.
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