Bring Llm Observability
to Google ADK
Learn how to connect Keywords AI 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 Keywords AI MCP Server?
Connect your Keywords AI account to any AI agent and monitor LLM performance.
What you can do
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
Built-in capabilities (11)
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Why Google ADK?
Google ADK natively supports Keywords AI 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 Keywords AI
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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 Keywords AI tools with BigQuery, Vertex AI, and Cloud Functions
Keywords AI in Google ADK
Keywords AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Keywords AI 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 Keywords AI in Google ADK
The Keywords AI 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
Keywords AI for Google ADK
Every tool call from Google ADK to the Keywords AI 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 track LLM costs?
Yes. get_credits shows your balance, get_usage_stats breaks down costs by model and time period.
Can I filter request logs by model?
Yes. list_requests_by_model returns only requests made to a specific LLM.
What analytics are available?
get_analytics provides cost trends, latency percentiles, error rates, and token usage over time.
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
