Bring Unified Api
to Google ADK
Learn how to connect Apideck to Google ADK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Apideck MCP Server?
Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.
What you can do
- Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the
list_crm_contactstool. - Vault Management — Create sessions for users to link their own accounts (
create_vault_session), list existing connections, and retrieve or delete specific service links. - API Proxying — Execute direct requests to downstream service endpoints using
execute_proxywhen you need specific functionality not covered by the unified schema. - Connection Auditing — Inspect the status and details of active integrations using
get_vault_connectionto ensure data flow is healthy.
How it works
- Subscribe to this server
- Provide your Apideck API Key, App ID, and Consumer ID
- Start querying your unified ecosystem from Claude, Cursor, or any MCP client
Who is this for?
- Developers — who want to interact with multiple APIs through a single, normalized interface directly from their IDE.
- Product Managers — who need to audit user connections and CRM data across different environments without manual API calls.
- Support Teams — who need to verify if a customer's integration is correctly configured in the Vault through natural language.
Built-in capabilities (6)
Create a Vault session
Delete a Vault connection
Execute a Proxy API request
Get a specific Vault connection
g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration
List Vault connections
Why Google ADK?
Google ADK natively supports Apideck as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Apideck
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
- —
Seamless integration with Google Cloud services means you can combine Apideck tools with BigQuery, Vertex AI, and Cloud Functions
Apideck in Google ADK
Apideck and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Apideck 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 | 4,000+ 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 Apideck in Google ADK
The Apideck 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 6 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
Apideck for Google ADK
Every tool call from Google ADK to the Apideck MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I fetch contacts from a specific CRM like Salesforce or HubSpot?
Yes. Use the list_crm_contacts tool and provide the service_id (e.g., 'salesforce') to retrieve unified contact data from that specific integration.
How do I allow my users to configure their own integrations?
You can use the create_vault_session tool to generate a secure session URL where users can manage their connections within the Apideck Vault.
What if I need to call an API endpoint that isn't part of the unified schema?
The execute_proxy tool allows you to make direct calls to any downstream service URL using the stored credentials for a specific service_id.
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
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