4,000+ servers built on vurb.ts
Vinkius
Google ADKSDK
Google ADK
Axiom MCP Server

Bring Telemetry
to Google ADK

Learn how to connect Axiom to Google ADK and start using 31 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create AnnotationCreate DashboardCreate DatasetCreate MonitorCreate NotifierDelete AnnotationDelete DashboardDelete DatasetDelete MonitorDelete NotifierGet AnnotationGet DashboardGet DatasetGet MonitorGet NotifierGet OrgGet UserIngest DataList AnnotationsList DashboardsList DatasetsList MonitorsList NotifiersList TokensList UsersRun QueryUpdate AnnotationUpdate DashboardUpdate DatasetUpdate MonitorUpdate Notifier

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Axiom

What is the Axiom MCP Server?

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

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.

How it works

  1. Subscribe to this server
  2. Enter your Axiom API Token and optional Organization ID
  3. Start analyzing your logs and managing infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • DevOps & SREs — instantly query logs for errors, check monitor statuses, and manage alerts without leaving the terminal or chat.
  • Software Engineers — debug production issues by running APL queries directly from the code editor to find specific trace IDs or logs.
  • Data Analysts — ingest and analyze large datasets using Axiom's powerful processing language through simple natural language prompts.

Built-in capabilities (31)

create_annotation

Create a new annotation

create_dashboard

Create a new dashboard

create_dataset

Create a new dataset

create_monitor

Create a new monitor

create_notifier

Create a new notifier

delete_annotation

Delete an annotation

delete_dashboard

Delete a dashboard

delete_dataset

Delete a dataset

delete_monitor

Delete a monitor

delete_notifier

Delete a notifier

get_annotation

Retrieve a specific annotation by ID

get_dashboard

Retrieve a specific dashboard by UID

get_dataset

Retrieve a specific dataset by ID

get_monitor

Retrieve a specific monitor by ID

get_notifier

Retrieve a specific notifier by ID

get_org

Retrieve an organization by ID

get_user

Retrieve a specific user by ID

ingest_data

Ingest data into an Axiom dataset

list_annotations

List all annotations

list_dashboards

List all dashboards

list_datasets

List all datasets

list_monitors

List all monitors

list_notifiers

List all notifiers

list_tokens

List all API tokens

list_users

List all users

run_query

Run an APL query against Axiom data

update_annotation

Update an existing annotation

update_dashboard

Update an existing dashboard

update_dataset

Update an existing dataset

update_monitor

Update an existing monitor

update_notifier

Update an existing notifier

Why Google ADK?

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.

  • 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 Axiom

  • 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 Axiom tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

Axiom in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Axiom and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Axiom 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Axiom in Google ADK

The Axiom 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 31 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.

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

The Vinkius Advantage

How Vinkius secures Axiom for Google ADK

Every tool call from Google ADK to the Axiom MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I run complex log analysis using Axiom Processing Language (APL)?

Yes! Use the run_query tool to execute any APL string. You can specify start_time and end_time to filter your data and get precise analytical results directly in the chat.

02

How do I send new log data to my Axiom datasets?

You can use the ingest_data tool. Simply provide the dataset_name, the data payload, and the content_type (JSON, NDJSON, or CSV) to stream data into your Axiom account.

03

Is it possible to manage system monitors and alerts through this integration?

Absolutely. You have access to a full suite of tools including list_monitors, create_monitor, and update_monitor to configure threshold or anomaly detection alerts based on your APL queries.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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