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Axiom MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 31 tools to Create Annotation, Create Dashboard, Create Dataset, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Axiom through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Axiom MCP Server for Vercel AI SDK 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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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Axiom, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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.

The Vercel AI SDK gives every Axiom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 31 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 31 tools from Axiom and passes them to the LLM

Why Use Vercel AI SDK with the Axiom MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Axiom integration everywhere

03

Built-in streaming UI primitives let you display Axiom tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Axiom + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Axiom in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Axiom tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Axiom capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Axiom through natural language queries

Example Prompts for Axiom in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Axiom + Vercel AI SDK FAQ

Common questions about integrating Axiom MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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