Compatible with every major AI agent and IDE
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
- Subscribe to this server
- Enter your Axiom API Token and optional Organization ID
- 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 a new annotation
Create a new dashboard
Create a new dataset
Create a new monitor
Create a new notifier
Delete an annotation
Delete a dashboard
Delete a dataset
Delete a monitor
Delete a notifier
Retrieve a specific annotation by ID
Retrieve a specific dashboard by UID
Retrieve a specific dataset by ID
Retrieve a specific monitor by ID
Retrieve a specific notifier by ID
Retrieve an organization by ID
Retrieve a specific user by ID
Ingest data into an Axiom dataset
List all annotations
List all dashboards
List all datasets
List all monitors
List all notifiers
List all API tokens
List all users
Run an APL query against Axiom data
Update an existing annotation
Update an existing dashboard
Update an existing dataset
Update an existing monitor
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
Axiom in Google ADK
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.
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 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.

* 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
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.
Frequently asked questions
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.
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.
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.
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
Explore More MCP Servers
View all →
ClickUp
8 toolsManage tasks and projects via ClickUp — track work, monitor spaces, and manage team productivity directly from any AI agent.

Braintree
8 toolsProcess and manage payments via Braintree GraphQL API — search transactions, manage customers, and issue refunds directly from any AI agent.

X (Twitter)
3 toolsAutomate social intelligence workflows via X (Twitter) — search recent tweets, retrieve user profiles, and analyze tweet engagement directly from any AI agent.

Freshworks
9 toolsManage unified CRM and support via Freshworks — track sales deals and accounts, handle helpdesk tickets, and manage contacts directly from any AI agent.
