[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "linkedin-mcp-server"
version = "1.0.0"
description = "Model Context Protocol (MCP) server for LinkedIn - enabling AI agents to interact with LinkedIn's professional network"
readme = "README.md"
requires-python = ">=3.10"
license = {file = "LICENSE"}
authors = [
{name = "SARAM ALI", email = "saramali15792@gmail.com"}
]
keywords = [
"mcp",
"model-context-protocol",
"linkedin",
"ai",
"llm",
"automation",
"fastmcp",
"claude",
"api"
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Communications",
"Topic :: Internet :: WWW/HTTP",
]
dependencies = [
"fastmcp>=2.14.2",
"httpx>=0.28.1",
"mcp>=1.25.0",
"pydantic>=2.0.0",
"pydantic-settings>=2.12.0",
"python-dotenv>=1.2.1",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"pytest-asyncio>=0.21.0",
"black>=23.0.0",
"ruff>=0.1.0",
"mypy>=1.0.0",
]
[project.urls]
Homepage = "https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server"
Repository = "https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server"
Issues = "https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server/issues"
Documentation = "https://github.com/SARAMALI15792/LinkedIn_mcp_custom_server#readme"
[project.scripts]
linkedin-mcp-server = "linkedin_mcp_server.__main__:main"
[tool.hatch.build.targets.wheel]
packages = ["linkedin_mcp_server"]
[tool.hatch.version]
path = "linkedin_mcp_server/__init__.py"
[tool.black]
line-length = 100
target-version = ['py310']
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false
