Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai

list-projects

Retrieve a list of all projects, organized with unique names and metadata, to manage traces, spans, and observability data effectively. Supports filtering and pagination for streamlined project exploration.

Instructions

Get a list of all projects.

Projects are containers for organizing traces, spans, and other observability data. Each project has a unique name and can contain traces from different applications or experiments.

Example usage: Show me all available projects

Expected return: Array of project objects with metadata. Example: [ { "id": "UHJvamVjdDox", "name": "default", "description": "Default project for traces" }, { "id": "UHJvamVjdDoy", "name": "my-experiment", "description": "Project for my ML experiment" } ]

Input Schema

NameRequiredDescriptionDefault
cursorNo
includeExperimentProjectsNo
limitNo

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "cursor": { "type": "string" }, "includeExperimentProjects": { "default": false, "type": "boolean" }, "limit": { "default": 100, "maximum": 100, "minimum": 1, "type": "number" } }, "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Arize-ai/phoenix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server