Phoenix MCP Server

What does “Phoenix” MCP Server do?

The Phoenix MCP (Model Context Protocol) Server is designed to connect AI assistants with external data sources and services, enabling advanced development workflows. By leveraging the MCP standard, Phoenix acts as a bridge between AI models and external resources such as APIs, databases, or filesystems. This integration empowers AI assistants to execute tasks like querying databases, managing files, or interacting with APIs, ultimately streamlining development, debugging, and operational processes for AI-centric applications. The Phoenix MCP Server’s modular design allows developers to easily expose resources and tools to LLM-powered workflows, enhancing both automation and flexibility across diverse engineering tasks.

List of Prompts

No prompt templates were found in the provided files or documentation.

List of Resources

No resources were found in the provided files or documentation.

List of Tools

No tools were identified in the server.py or equivalent entry point for this MCP server.

Use Cases of this MCP Server

No specific use cases were documented or referenced in the provided files or documentation.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Open your Windsurf configuration file.
3. Add the Phoenix MCP Server to the mcpServers configuration section.
4. Save your changes and restart Windsurf.
5. Verify that the MCP server is running and accessible.

Example JSON:

"mcpServers": {
  "phoenix-mcp": {
    "command": "npx",
    "args": ["@phoenix/mcp-server@latest"]
  }
}

Claude

1. Install Node.js if not already present.
2. Locate the Claude configuration file.
3. Insert the Phoenix MCP Server setup under the mcpServers section.
4. Save and restart Claude.
5. Confirm the MCP server’s connectivity.

Example JSON:

"mcpServers": {
  "phoenix-mcp": {
    "command": "npx",
    "args": ["@phoenix/mcp-server@latest"]
  }
}

Cursor

1. Make sure Node.js is installed.
2. Edit the Cursor configuration file.
3. Include the Phoenix MCP Server in the mcpServers entry.
4. Save your changes and restart Cursor.
5. Test the MCP endpoint for availability.

Example JSON:

"mcpServers": {
  "phoenix-mcp": {
    "command": "npx",
    "args": ["@phoenix/mcp-server@latest"]
  }
}

Cline

1. Install Node.js if it’s not already installed.
2. Find the configuration file for Cline.
3. Add Phoenix MCP Server under mcpServers.
4. Save and restart Cline.
5. Ensure the MCP server is up and running.

Example JSON:

"mcpServers": {
  "phoenix-mcp": {
    "command": "npx",
    "args": ["@phoenix/mcp-server@latest"]
  }
}

Securing API Keys: Store sensitive API keys or credentials using environment variables. Reference them in your configuration as shown below:

Example JSON with environment variable:

"mcpServers": {
  "phoenix-mcp": {
    "command": "npx",
    "args": ["@phoenix/mcp-server@latest"],
    "env": {
      "API_KEY": "${API_KEY}"
    },
    "inputs": {
      "apiKey": "${API_KEY}"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "phoenix-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "phoenix-mcp" to the actual name of your MCP server and replace the URL with your MCP server’s address.

Overview

Based on the available information, the “phoenix-mcp” repository lacks documentation on prompt templates, resources, tools, or use cases. Setup instructions are generic, and there is no evidence of sampling or roots support. The repository appears to be in an early or undocumented state for MCP features.

MCP Score

Overall, based on the completeness of documentation and available MCP features, the Phoenix MCP Server rates 2/10.