pyproject.toml•1.73 kB
[project]
name = "gemini-deepsearch-mcp"
version = "0.1.5"
description = "Gemini DeepSearch MCP - Automated research agent with Google Gemini models"
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.12"
authors = [
{ name = "Alex Cong", email = "alexcong@gmail.com" }
]
keywords = ["mcp", "gemini", "research", "ai", "langgraph"]
dependencies = [ "langgraph>=0.2.6",
"langchain>=0.3.19",
"langchain-google-genai",
"python-dotenv>=1.0.1",
"langgraph-sdk>=0.1.57",
"langgraph-cli",
"langgraph-api",
"fastmcp",
"fastapi",
"google-genai",
"google-ai-generativelanguage>=0.6.18",
]
[project.optional-dependencies]
dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.ruff]
lint.select = [
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"D", # pydocstyle
"D401", # First line should be in imperative mood
"T201",
"UP",
]
lint.ignore = [
"UP006",
"UP007",
# We actually do want to import from typing_extensions
"UP035",
# Relax the convention by _not_ requiring documentation for every function parameter.
"D417",
"E501",
]
[tool.ruff.lint.per-file-ignores]
"tests/*" = ["D", "UP"]
[tool.ruff.lint.pydocstyle]
convention = "google"
[dependency-groups]
dev = [
"langgraph-cli[inmem]>=0.1.71",
"pytest>=8.3.5",
]
[project.scripts]
gemini-deepsearch-mcp = "gemini_deepsearch_mcp.main:main"
[project.urls]
Homepage = "https://github.com/alexcong/gemini-deepsearch-mcp"
Repository = "https://github.com/alexcong/gemini-deepsearch-mcp"
Issues = "https://github.com/alexcong/gemini-deepsearch-mcp/issues"