arize-phoenix
v0.1.0by Arize-ai · author: Arize AI
Connect to your Phoenix instance to debug, evaluate, and improve LLM applications.
What arize-phoenix does, in the publisher's words
A Codex plugin in the portable Agent Plugins format. It registers the Phoenix remote MCP server so Codex can explore traces, sessions, datasets, experiments, and evaluations in your Phoenix instance.
Plugin MCP URLs cannot contain environment variables, so the plugin registers a small stdio launcher, scripts/phoenix-mcp, instead of a fixed URL. The launcher reads your environment and bridges to /mcp with mcp-remote via npx.
These are the same variables the px CLI reads. Export them in the shell you launch Codex from. Codex forwards only the variables the plugin declares, which is why both are listed in mcp.json and.mcp.json.
From the project README, punctuation lightly normalized · Open the README on GitHub
- Skills
- 0
- MCP servers
- 1
- Stars
- 11,721
- License
- Apache-2.0
- Repo created
- 2022-11-09
- Last pushed
- 2026-10-06
- Publisher type
- Organization
- Version
- 0.1.0
Links
MCP servers · 1
- phoenixstdio
- ./scripts/phoenix-mcp
- env vars: PHOENIX_ENDPOINT · PHOENIX_API_KEY
Read from the plugin's own mcp.json. We list environment variable names, never values.
Category
Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
Keywords
phoenix · arize · observability · tracing · evals · llm · mcp
Related by publisher and keywords
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing instrumentation.
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI.
Official SigNoz plugin for MCP setup, docs, queries, dashboards, and alerts
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore (Strands, LangGraph), connecting tools via Gateway and MCP, multi-agent and A2A orchestration, memory, Cedar policies, evaluation, observability, debugging traces and logs, and production hardening.
Investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
Interact with the Everruns managed harnesses platform. Manage harnesses, agents, capabilities, sessions, and applications.
[](https://agentpluginsdirectory.com/plugins/arize-phoenix)✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.