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Arize AX MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Arize AX MCP or direct API to inspect traces, analyze spans, manage datasets, run evaluations, and review experiments through natural language.

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Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.

24 Tools

Try Arize AX now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Arize AX
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TOOLS

Supported Tools

Every Arize AX action and event your agent gets out of the box.

Add Dataset Examples

Append arbitrary-field examples to an Arize dataset or a specified dataset version.

Add Experiment Runs

Append one or more runs to an existing Arize experiment.

Create Dataset

Create an Arize dataset in a space with an explicit initial array of examples.

Create Experiment

Create an Arize experiment with initial runs, associated with exactly one dataset or space.

Create Prompt

Create an Arize prompt and its initial version in a space.

Create Prompt Version

Create a new immutable version of an existing Arize prompt.

Get Dataset

Get one Arize dataset and its versions by dataset ID.

Get Experiment

Get one Arize experiment by its ID, without its experiment runs.

Get Project

Get one accessible Arize project by its ID.

Get Prompt

Get an Arize prompt with its current, explicitly selected, or labeled version.

Get Space

Get one accessible Arize space by its ID.

List Dataset Examples

List one page of examples from an Arize dataset or a specific dataset version, preserving user-defined example fields.

List Datasets

List one page of Arize datasets, optionally filtered by space or dataset name.

List Experiment Runs

List one page of runs and outputs for an Arize experiment, preserving additional run fields.

List Experiments

List one page of Arize experiments, optionally filtered by dataset, space, or name.

List Projects

List one page of accessible Arize projects, optionally filtered by space or project name.

List Prompts

List one page of Arize prompts, optionally filtered by space or prompt name.

List Prompt Versions

List one page of versions for an Arize prompt, newest first.

List Spaces

List one page of Arize spaces accessible to the connected API key, optionally filtered by organization or name.

List Spans

Read one bounded page of spans for an Arize project using optional time and filter constraints.

List Traces

Read one bounded page of traces and nested spans for an Arize project using optional time and filter constraints; nested spans may be truncated per trace.

Update Dataset

Rename an existing Arize dataset.

Update Dataset Examples

Update existing Arize dataset examples by ID, optionally creating a named dataset version.

Update Prompt

Update or clear an Arize prompt's description.

SETUP GUIDE

Connect Arize AX MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for Arize AX
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'List recent traces in my Arize AX project and summarize failed spans'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect Arize AX API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute Arize AX Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List recent traces in my Arize AX project and summarize failed spans'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Arize AX actions with your Agent

Why Use Composio?

AI Native Arize AX Integration

  • Supports both Arize AX MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable trace, span, dataset, prompt, and experiment workflows
  • Rich coverage for reading, writing, and querying your Arize AX observability and evaluation data

Managed Auth

  • Secure API key handling without hard-coding Arize AX credentials in your agent code
  • Central place to manage, scope, and revoke Arize AX access across users and environments
  • Per user and per environment credentials for safer AI engineering workflows

Agent Optimized Design

  • Tools are shaped for language models, so agents can find projects, inspect traces, and reason over evaluation results more reliably
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf
  • Built to help agents move from vague debugging questions to concrete Arize AX actions

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Arize AX
  • Scoped, least privilege access to Arize AX resources like projects, datasets, traces, spans, prompts, and experiments
  • Full audit trail of agent actions to support review, debugging, and compliance
FRAMEWORKS

Use Arize AX with any AI Agent Framework

Choose a Framework you want to connect Arize AX with

ChatGPT logo

ChatGPT

Use Arize AX MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Arize AX MCP with Claude Cowork

Hermes logo

Hermes

Use Arize AX MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Arize AX MCP with Atomic Agent

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Arize AX requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Arize AX connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Arize AX account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Arize AX actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Arize AX at any time.

When you connect a Arize AX account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Arize AX as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Arize AX. If Arize AX lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Arize AX at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Arize AX connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Arize AX rejects the old key. Create a new key in Arize AX and reconnect the account from the Composio dashboard or by asking your agent to reconnect Arize AX. Nothing else changes.

Composio's free plan includes 100,000 tool calls per month with no credit card, which covers most personal Arize AX use. Paid plans add higher limits and team features. Your Arize AX plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Arize AX accounts).

With Composio, you connect Arize AX once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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