[project]
name = "qmcp"
version = "0.1.0"
description = "A spec-aligned Model Context Protocol (MCP) server"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"aiosqlite>=0.22.1",
"click>=8.3.1",
"fastapi[standard]>=0.115.0",
"httpx>=0.27.0",
"pydantic-settings>=2.0.0",
"pytest>=9.0.2",
"sqlmodel>=0.0.31",
"structlog>=25.1.0",
"uvicorn>=0.30.0",
]
[project.scripts]
qmcp = "qmcp.cli:main"
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.24.0",
"ruff>=0.8.0",
]
flows = [
"metaflow>=2.12.0",
"pydantic-ai[openai]",
]
# PydanticAI integration - core agent framework
# Note: pydantic-ai bundles provider SDKs, install provider packages separately if needed
pydantic-ai = [
"pydantic-ai>=0.1.0",
]
# Provider SDKs for model support
anthropic = [
"pydantic-ai>=0.1.0",
"anthropic>=0.40.0",
]
openai = [
"pydantic-ai>=0.1.0",
"openai>=1.50.0",
]
all-providers = [
"pydantic-ai>=0.1.0",
"anthropic>=0.40.0",
"openai>=1.50.0",
"google-generativeai>=0.8.0",
]
[tool.uv]
package = true
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
asyncio_mode = "strict"
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
[tool.ruff]
line-length = 100
target-version = "py313"
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]
