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Axiom MCP Server for Pydantic AIGive Pydantic AI instant access to 31 tools to Create Annotation, Create Dashboard, Create Dataset, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Axiom through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

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The Axiom MCP Server for Pydantic AI 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
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Axiom "
            "(31 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Axiom?"
    )
    print(result.data)

asyncio.run(main())
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.

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.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 31 tools from Axiom with type-safe schemas

Why Use Pydantic AI with the Axiom MCP Server

Pydantic AI provides unique advantages when paired with Axiom through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Axiom integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Axiom connection logic from agent behavior for testable, maintainable code

Axiom + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Axiom MCP Server delivers measurable value.

01

Type-safe data pipelines: query Axiom with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Axiom tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Axiom and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Axiom responses and write comprehensive agent tests

Example Prompts for Axiom in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Axiom to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Axiom + Pydantic AI FAQ

Common questions about integrating Axiom MCP Server with Pydantic AI.

01

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.
02

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.
03

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.

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