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.
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
Phone-a-Friend MCP Server creates a two-step consultation process:
- Context + Reasoning: Package all relevant context and send to external AI for deep analysis
- 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.
Primary AI → Phone-a-Friend MCP → OpenRouter → External AI (O3, Claude, etc.) → Processed Response → Primary AI
Sequential Workflow:
analyze_context
- Gather and structure all relevant contextget_critical_thinking
- Send context to external AI via OpenRouter for reasoningextract_actionable_insights
- Process response into actionable format
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
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:
{
"mcpServers": {
"phone-a-friend": {
"command": "uvx",
"args": [
"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.
📞 Consult external AI for critical thinking and complex reasoning. Makes API calls to get responses.
📠 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 generatedfax_a_friend.md
master prompt file will be saved.
This section covers all configuration options, including environment variables, CLI flags, and model selection.
The server can be configured via CLI flags or environment variables.
Provider | CLI Flag | Environment Variable |
---|---|---|
OpenAI | --provider openai |
OPENAI_API_KEY |
OpenRouter | --provider openrouter |
OPENROUTER_API_KEY |
Anthropic | --provider anthropic |
ANTHROPIC_API_KEY |
--provider google |
GOOGLE_API_KEY |
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
You can override the default model for each provider.
Provider | Default Model |
---|---|
OpenAI | o3 |
Anthropic | Claude 4 Opus |
Gemini 2.5 Pro Preview 05-06 |
|
OpenRouter | anthropic/claude-4-opus |
Override with CLI:
phone-a-friend-mcp-server --model "o3"
Override with Environment Variable:
export PHONE_A_FRIEND_MODEL="o3"
Feature | CLI Flag | Environment Variable | Default |
---|---|---|---|
Temperature | --temperature 0.5 |
PHONE_A_FRIEND_TEMPERATURE |
0.4 |
Base URL | --base-url ... |
PHONE_A_FRIEND_BASE_URL |
Provider default |
- In-depth Reasoning for Vibe Coding
- For complex algorithms, data structures, or mathematical computations
- Frontend Development with React, Vue, CSS, or modern frontend frameworks
MIT License - see LICENSE file for details.