What is Phone A Friend Mcp Server

Phone-a-Friend MCP Server is an AI-to-AI consultation system that allows one AI to ‘phone a friend’ (another AI) for enhanced critical thinking, long context reasoning, and complex problem solving through OpenRouter.

Use cases

Use cases include solving complex multi-step problems, critical decision-making scenarios, situations requiring long context reasoning, and consulting multiple AI models for diverse perspectives.

How to use

To use Phone-a-Friend MCP Server, clone the repository, install dependencies, and configure API access with your OpenRouter or OpenAI API key. Then, follow the sequential workflow to analyze context, get critical thinking insights, and extract actionable insights.

Key features

Key features include a two-step consultation process for deep analysis, the ability to handle long context reasoning, multi-step problem solving, and leveraging specialized expertise from different AI models.

Where to use

Phone-a-Friend MCP Server is ideal for fields requiring complex problem solving, such as AI research, decision support systems, and any domain needing cross-expertise consultation.

Phone-a-Friend MCP Server 🧠📞

An AI-to-AI consultation system that enables one AI to “phone a friend” (another AI) for critical thinking, long context reasoning, and complex problem solving via OpenRouter.

The Problem 🤔

Sometimes an AI encounters complex problems that require:

• Deep critical thinking beyond immediate capabilities
• Long context reasoning with extensive information
• Multi-step analysis that benefits from external perspective
• Specialized expertise from different AI models

The Solution �

Phone-a-Friend MCP Server creates a two-step consultation process:

1. Context + Reasoning: Package all relevant context and send to external AI for deep analysis
2. Extract Actionable Insights: Process the reasoning response into usable format for the primary AI

This enables AI systems to leverage other AI models as “consultants” for complex reasoning tasks.

Architecture 🏗️

Primary AI → Phone-a-Friend MCP → OpenRouter → External AI (GPT-4, Claude, etc.) → Processed Response → Primary AI

Sequential Workflow:

1. analyze_context - Gather and structure all relevant context
2. get_critical_thinking - Send context to external AI via OpenRouter for reasoning
3. extract_actionable_insights - Process response into actionable format

When to Use 🎯

Ideal for:

• Complex multi-step problems requiring deep analysis
• Situations needing long context reasoning (>100k tokens)
• Cross-domain expertise consultation
• Critical decision-making with high stakes
• Problems requiring multiple perspectives

Quick Start ⚡

Configure your MCP client (e.g., Claude Desktop) using the JSON block below—no cloning or manual installation required.
The uv runner will automatically download and execute the server package if it isn’t present.

Add the following JSON configuration to your MCP client and replace <YOUR_API_KEY> with your key:

```json
{
  "mcpServers": {
    "phone-a-friend": {
      "command": "uv",
      "args": [
        "run",
        "phone-a-friend-mcp-server",
        "--provider", "openai",
        "--api-key", "<YOUR_API_KEY>"
      ]
    }
  }
}
```
> That's it! You can now use the `phone_a_friend` tool in any compatible client. For more options, see the Advanced Configuration section.

Available Tools 🛠️

phone_a_friend

📞 Consult external AI for critical thinking and complex reasoning. Makes API calls to get responses.

fax_a_friend

📠 Generate master prompt file for manual AI consultation. Creates file for copy-paste workflow.

Parameters

phone_a_friend

• all_related_context (required): General, non-code context such as constraints, tracebacks, or high-level requirements.
• file_list (required): Array of file paths or glob patterns. Just pass the paths – the server automatically reads those files (skips anything in .gitignore or non-text/binary) and builds the full code context for the external AI.
• task (required): A clear, specific description of what you want the external AI to do.

fax_a_friend

• all_related_context (required): Same as above.
• file_list (required): Same as above.
• task (required): Same as above.
• output_directory (required): Directory where the generated fax_a_friend.md master prompt file will be saved.

Advanced Configuration 🔧

This section covers all configuration options, including environment variables, CLI flags, and model selection.

Providers and API Keys

The server can be configured via CLI flags or environment variables.

CLI Example:

phone-a-friend-mcp-server --provider openai --api-key "sk-..."

Environment Variable Example:

export OPENAI_API_KEY="sk-..."
phone-a-friend-mcp-server

Model Selection

You can override the default model for each provider.

Override with CLI:

phone-a-friend-mcp-server --model "gpt-4-turbo"

Override with Environment Variable:

export PHONE_A_FRIEND_MODEL="gpt-4-turbo"

Additional Options

Use Cases 🎯

1. In-depth Reasoning for Vibe Coding
2. For complex algorithms, data structures, or mathematical computations
3. Frontend Development with React, Vue, CSS, or modern frontend frameworks

License 📄

MIT License - see LICENSE file for details.