ai2dev-mcp

An MCP server that a frontend can talk to in order to design software projects the same way AI2DEV does: draft a design document with an LLM, refine it based on feedback, answer follow-up questions, and finally hand the finished document to the AI2DEV API to create the project.

Tools exposed

Related MCP server: Lockstep Core

Setup

python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env  # fill in ANTHROPIC_API_KEY and AI2DEV_API_KEY

Required environment variables:

• ANTHROPIC_API_KEY — used by the LLM tools (design doc generation/refinement, Q&A).

• ANTHROPIC_MODEL — defaults to claude-opus-4-8.

• AI2DEV_API_BASE_URL — base URL of the AI2DEV API (defaults to a placeholder; set to your real endpoint).

• AI2DEV_API_KEY — bearer token for the AI2DEV API.

Running

As a stdio MCP server (what most MCP clients/frontends expect):

python -m ai2dev_mcp.server
# or, after `pip install -e .`
ai2dev-mcp-server

For local interactive testing with the MCP Inspector:

mcp dev src/ai2dev_mcp/server.py

Connecting a frontend / MCP client

Point your MCP client at the command above and pass the environment variables through its env config, e.g. for a JSON-based MCP client config:

{
  "mcpServers": {
    "ai2dev-design": {
      "command": "ai2dev-mcp-server",
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-...",
        "AI2DEV_API_BASE_URL": "https://api.ai2dev.example.com",
        "AI2DEV_API_KEY": "..."
      }
    }
  }
}

Tests

pytest

Project layout

src/ai2dev_mcp/
  config.py        # env-driven settings
  llm.py            # Anthropic-backed design doc generation/refinement/Q&A
  ai2dev_client.py  # HTTP client for the AI2DEV project-creation API
  server.py         # FastMCP server wiring the tools together
tests/
  test_server.py