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Developer ToolsAuto-generatedScore: 34

Artifact MCP Server

Artifact API

Quick Answer

  1. 1. The Artifact MCP server lets Claude, Cursor, and VS Code interact with the Artifact API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including Get Batch Artifacts by Ids., Create Artifact., Create an Artifact for an existing data location., and more.
  4. 4. Quality score: 34/99 — fair source quality and documentation coverage.

Overview

Category: Developer Tools

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/azure-com-machinelearningservices-artifact

Spec: v2019-08-01

Setup time: ~30 sec (no auth)

Environment Variables

ARTIFACT_API_KEY

Example: your_artifact_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "azure-com-machinelearningservices-artifact": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-machinelearningservices-artifact"
      ],
      "env": {
        "ARTIFACT_API_KEY": "your_artifact_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "azure-com-machinelearningservices-artifact": {
      "url": "https://mcpbridge.org/config/azure-com-machinelearningservices-artifact.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "azure-com-machinelearningservices-artifact": {
      "url": "https://mcpbridge.org/config/azure-com-machinelearningservices-artifact.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "azure-com-machinelearningservices-artifact": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-machinelearningservices-artifact"],
      "env": {
      "ARTIFACT_API_KEY": "your_artifact_api_key"
}
    }
  }
}

What You Can Build

With the Artifact MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify developer tools resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/batch/metadata

Get Batch Artifacts by Ids.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/metadata

Create Artifact.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/register

Create an Artifact for an existing data location.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/storageuri/batch/metadata

Get Batch Artifacts storage by Ids.

GET/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}

Get Artifacts metadata in a container or path.

DELETE/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}/batch

Delete Artifact Metadata.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}/batch/ingest/containersas

Batch ingest using shared access signature.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}/batch/metadata

Create a batch of empty Artifacts.

POST/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}/batch/metadata:delete

Delete Batch of Artifact Metadata.

GET/artifact/v2.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/artifacts/{origin}/{container}/content

Get Artifact content by Id.

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 2019-08-01

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

34/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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