What API keys are required to run mcp-server-architect?
You need a Google Gemini API key (required) and optionally an OpenAI API key (for GPT‑4o) and an Exa API key (for web search). A Logfire API key is optional for telemetry.
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Basic information
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Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-architect": {
"command": "uv",
"args": [
"venv"
]
}
}
}Generates a Product Requirements Document based on codebase analysis
Provides reasoning assistance for a stuck LLM on a coding task
mcp-server-architect is an MCP server that acts as an AI Software Architect. It analyzes codebases to generate Product Requirements Documents (PRDs) and provides reasoning assistance for complex coding tasks using an agent-based architecture with GPT‑4o and Gemini 2.5 models.
Install it with uvx mcp-server-architect (recommended) or pip install mcp-server-architect, then run with required API keys. It exposes two tools: Architect::generate_prd (for PRD generation) and Architect::think (for reasoning assistance). It integrates with Claude Code via MCP.
uvx mcp-server-architectYou need a Google Gemini API key (required) and optionally an OpenAI API key (for GPT‑4o) and an Exa API key (for web search). A Logfire API key is optional for telemetry.
The quickest method is using `uvx`: `env GEMINI_API_KEY=your_key uvx mcp-server-architect`. You can also install with `pip install mcp-server-architect` and run as a command: `env GEMINI_API_KEY=your_key mcp-server-architect`.
Use `claude mcp add architect -- env GEMINI_API_KEY=your_key EXA_API_KEY=your_key uvx mcp-server-architect` for local scope, or add `-s project` or `-s user` for project/user scope. API keys can also be stored in a `.env` file.
Two tools: `Architect::generate_prd` (generates a PRD from a codebase path and task description) and `Architect::think` (provides reasoning assistance for a stuck LLM given a detailed request).
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