Overview
The Arize Tracing Assistant is a Model Context Protocol (MCP) server that enhances your development workflow by integrating Arize support, documentation, and curated examples directly into your IDE or LLM.
Key Features
- Access instrumentation guides for Arize AX
- Use curated tracing examples and best practices
- Direct connection to Arize support through natural language queries
Installation
The Arize Tracing Assistant is distributed via uv, a fast Python package manager.Install uv
- macOS
- Linux
- Windows
Claude Code Integration
You can add the Tracing Assistant directly from the command line:Gemini CLI Integration
Install using the Gemini CLI extension. (Gemini CLI homepage)IDE Integration
Cursor IDE
-
Navigate to:
Settings→MCP - Click Add new global MCP server
-
Insert the following into your config JSON:
Claude Desktop
-
Open:
Settings→Developer→Edit Config -
Add the following config:
Manual MCP Config
Add this snippet to yourmcpServers config section:
Usage
Once the MCP server is running, you can ask your IDE or LLM natural-language questions like:- “Instrument this app using Arize.”
- “Can you use manual instrumentation so that I have more control over my traces?”
- “How can I redact sensitive information from my spans?”
- “Can you make sure the context of this trace is propagated across these tool calls?”
- “Where can I find my Arize keys?”
Troubleshooting
- Ensure your JSON configs are properly formatted
-
Run
uv cache cleanto reset any cached versions -
Confirm the
uvpath using: -
Start the server manually by running:
-
Use Anthropic’s MCP inspector: