Pydantic AISDK

Axiom MCP Server

Bring Telemetry
to Pydantic AI

Name: Axiom MCP Server
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

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

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

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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_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 Pydantic AI?

Pydantic AI validates every Axiom tool response against typed schemas, catching data inconsistencies at build time. Connect 31 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Axiom integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Axiom connection logic from agent behavior for testable, maintainable code

See it in action

Axiom in Pydantic AI

AI Agent→Vinkius

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 Pydantic AI 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 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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Axiom in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full Axiom details →

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 Pydantic AI

Every tool call from Pydantic AI 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

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 Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Axiom MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.