Bring Aireceptionist
to Google ADK
Learn how to connect AI Receptionist 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 AI Receptionist MCP Server?
Connect your AI Receptionist account to any AI agent and take full control of your automated customer engagement and front-desk workflows through natural conversation.
What you can do
- Conversation Orchestration — List and monitor inbound and outbound AI voice or chat interactions programmatically, retrieving complete high-fidelity transcripts and operational metadata in real-time
- Booking & Appointment Intelligence — Access your complete directory of active appointments and programmatically create or manage bookings to maintain a perfectly coordinated schedule
- Knowledge Base Discovery — Access and monitor your organizational business rules and FAQs (Knowledge Base) to coordinate how your AI receptionist interacts with clients
- Lead & Performance Intelligence — Retrieve high-fidelity analytics on lead capture and interaction performance directly through your agent for instant operational reporting
- Infrastructure Monitoring — Verify API connectivity, access account metadata, and monitor active webhooks to maintain a perfectly coordinated communication ecosystem
How it works
1. Subscribe to this server
2. Retrieve your API Key from your AI Receptionist dashboard (Developer Settings > API)
3. Start orchestrating your automated front-desk from Claude, Cursor, or any MCP client
No more manual listening to call recordings or digging through individual lead tables. Your AI acts as your dedicated front-desk coordinator and interaction architect.
Who is this for?
- Business Owners — instantly retrieve lead summaries and monitor AI performance using natural language commands
- Operations Managers — manage appointment schedules and verify knowledge base accuracy without leaving your workspace
- Developers — integrate high-speed AI voice intelligence and booking data into custom business workflows through simple AI queries
Built-in capabilities (10)
Create a booking
Create a new conversation
Get performance analytics
Get booking details
Get conversation details
Get current user profile
List active bookings
List AI conversations
List knowledge base articles
List active webhooks
Why Google ADK?
Google ADK natively supports AI Receptionist 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 AI Receptionist
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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 AI Receptionist tools with BigQuery, Vertex AI, and Cloud Functions
AI Receptionist in Google ADK
AI Receptionist and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AI Receptionist 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 AI Receptionist in Google ADK
The AI Receptionist 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
AI Receptionist for Google ADK
Every tool call from Google ADK to the AI Receptionist 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 AI Receptionist API Key?
Log in to your account, navigate to Developer Settings > API, and generate or copy your unique API Key.
Can I read call transcripts via AI?
Yes! The get_aireceptionist_conversation tool allows your agent to retrieve complete high-fidelity transcripts of any AI interaction programmatically.
How do I check lead analytics?
Use the get_aireceptionist_analytics tool to retrieve a high-fidelity summary of lead capture metrics and performance data directly through your 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.
McpToolset not found
Update: pip install --upgrade google-adk