pyproject.toml

[project]
name = "mcp-bridge"
dynamic = ["version"]
description = "A middleware to provide an openAI compatible endpoint that can call MCP tools."
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
    "deepmerge>=2.0",
    "fastapi>=0.115.6",
    "httpx>=0.28.1",
    "httpx-sse>=0.4.0",
    "lmos-openai-types",
    "loguru>=0.7.3",
    "mcp>=1.2.0",
    "mcpx[docker]>=0.1.1",
    "pydantic>=2.10.4",
    "pydantic-settings>=2.7.0",
    "sse-starlette>=2.2.0",
    "tortoise-orm[asyncmy,asyncpg]>=0.23.0",
    "uvicorn>=0.34.0",
]

[tool.uv.sources]
lmos-openai-types = { git = "https://github.com/LMOS-IO/LMOS-openai-types", rev = "pydantic-gen" }

[dependency-groups]
dev = [
    "mypy>=1.14.0",
    "ruff>=0.8.4",
    "uv>=0.5.20",
]
[build-system]
requires = [ "hatchling",]
build-backend = "hatchling.build"

[tool.hatch.version]
path = "mcp_bridge/__init__.py"

[project.scripts]
mcp-bridge = "mcp_bridge.main:run"