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Axiom MCP Server for Google ADKGive Google ADK instant access to 31 tools to Create Annotation, Create Dashboard, Create Dataset, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Axiom as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Axiom MCP Server for Google ADK is a standout in the Data Analytics category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="axiom_agent",
    instruction=(
        "You help users interact with Axiom "
        "using 31 available tools."
    ),
    tools=[mcp_tools],
)
Axiom
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Axiom MCP Server

Connect your Axiom account to any AI agent to streamline your observability and log management workflows through natural conversation.

Google ADK natively supports Axiom as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 31 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Data Ingestion & Querying — Ingest JSON, NDJSON, or CSV data and run complex Axiom Processing Language (APL) queries to analyze logs in real-time.
  • Dataset Management — List, create, and update datasets to organize your telemetry and infrastructure data efficiently.
  • Monitoring & Alerts — Manage monitors and notifiers to stay informed about system performance, errors, and anomalies.
  • Dashboards & Annotations — Access dashboards and create annotations to visualize trends and mark significant system events.
  • Organization Insights — Retrieve user information, API tokens, and organization details to maintain secure and authorized access.

The Axiom MCP Server exposes 31 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 31 Axiom tools available for Google ADK

When Google ADK connects to Axiom through Vinkius, your AI agent gets direct access to every tool listed below — spanning telemetry, log-analysis, real-time-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create annotation on Axiom

Create a new annotation

create

Create dashboard on Axiom

Create a new dashboard

create

Create dataset on Axiom

Create a new dataset

create

Create monitor on Axiom

Create a new monitor

create

Create notifier on Axiom

Create a new notifier

delete

Delete annotation on Axiom

Delete an annotation

delete

Delete dashboard on Axiom

Delete a dashboard

delete

Delete dataset on Axiom

Delete a dataset

delete

Delete monitor on Axiom

Delete a monitor

delete

Delete notifier on Axiom

Delete a notifier

get

Get annotation on Axiom

Retrieve a specific annotation by ID

get

Get dashboard on Axiom

Retrieve a specific dashboard by UID

get

Get dataset on Axiom

Retrieve a specific dataset by ID

get

Get monitor on Axiom

Retrieve a specific monitor by ID

get

Get notifier on Axiom

Retrieve a specific notifier by ID

get

Get org on Axiom

Retrieve an organization by ID

get

Get user on Axiom

Retrieve a specific user by ID

ingest

Ingest data on Axiom

Ingest data into an Axiom dataset

list

List annotations on Axiom

List all annotations

list

List dashboards on Axiom

List all dashboards

list

List datasets on Axiom

List all datasets

list

List monitors on Axiom

List all monitors

list

List notifiers on Axiom

List all notifiers

list

List tokens on Axiom

List all API tokens

list

List users on Axiom

List all users

run

Run query on Axiom

Run an APL query against Axiom data

update

Update annotation on Axiom

Update an existing annotation

update

Update dashboard on Axiom

Update an existing dashboard

update

Update dataset on Axiom

Update an existing dataset

update

Update monitor on Axiom

Update an existing monitor

update

Update notifier on Axiom

Update an existing notifier

Connect Axiom to Google ADK via MCP

Follow these steps to wire Axiom into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 31 tools from Axiom via MCP

Why Use Google ADK with the Axiom MCP Server

Google ADK provides unique advantages when paired with Axiom through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Axiom

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Axiom tools with BigQuery, Vertex AI, and Cloud Functions

Axiom + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Axiom MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Axiom and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Axiom tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Axiom regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Axiom

Example Prompts for Axiom in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Axiom immediately.

01

"List all my available Axiom datasets."

02

"Run an APL query to count errors in 'production-logs' from the last 24 hours."

03

"Create a new monitor named 'High Latency' that checks for response times over 500ms."

Troubleshooting Axiom MCP Server with Google ADK

Common issues when connecting Axiom to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Axiom + Google ADK FAQ

Common questions about integrating Axiom MCP Server with Google ADK.

01

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.
02

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.
03

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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