Bring B2b Data
to Google ADK
Learn how to connect Apollo.io to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Apollo.io MCP Server?
Connect your Apollo.io account to any AI agent and take full control of your B2B prospecting and sales engagement workflows through natural conversation.
What you can do
- Prospect Orchestration — Search through a massive database of professionals by title, location, and company domains programmatically in real-time
- Data Enrichment Intelligence — Programmatically retrieve verified email addresses, phone numbers, and high-fidelity social metadata for any contact or company
- Sequence Lifecycle Management — Enroll qualified leads into automated email sequences and monitor your sales outreach pipeline directly through your agent
- Company Architecture — Access deep firmographic data, including revenue, headcount, and technology stacks to maintain a perfectly coordinated account strategy
- Operational Monitoring — Track your remaining search and enrichment credits and monitor API connectivity directly through your agent for instant reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Apollo dashboard (Settings > Integrations > API)
3. Start orchestrating your sales pipeline from Claude, Cursor, or any MCP client
No more manual toggling between browser tabs to find emails or check prospect status. Your AI acts as your dedicated sales analyst and outreach coordinator.
Who is this for?
- Sales Development (SDRs) — instantly build highly targeted prospect lists using natural language commands
- Account Executives (AEs) — enrich key account metadata and monitor buying intent without leaving your creative workspace
- Growth Marketers — automate lead enrichment and sequence enrollment through simple AI queries
Built-in capabilities (12)
Enroll contact in sequence
Get company metadata
Get full profile details
Get API and account status
Get usage and credits
Get contact by ID
Get sender accounts
List email sequences
List your contacts
List account users
Find organizations
Find prospects
Why Google ADK?
Google ADK natively supports Apollo.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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 Apollo.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 Apollo.io tools with BigQuery, Vertex AI, and Cloud Functions
Apollo.io in Google ADK
Apollo.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Apollo.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 Apollo.io in Google ADK
The Apollo.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 12 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
Apollo.io for Google ADK
Every tool call from Google ADK to the Apollo.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 Apollo API Key?
Log in to your account, navigate to Settings > Integrations > API, and generate or copy your unique personal token.
Can I enrich a company by its domain via AI?
Yes! The enrich_company_data tool allows your agent to retrieve high-fidelity metadata like revenue and tech stack using just the company domain.
How do I check my remaining credits?
Use the get_credit_info tool to retrieve real-time data on your search and enrichment quotas directly through your AI agent.
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