[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "mcp-vector-memory"
version = "0.1.0"
description = "Semantic memory storage and retrieval for AI agents via MCP"
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.11"
authors = [
{ name = "Danilo Luiz", email = "danilo@vertexhub.ai" },
]
keywords = ["mcp", "memory", "vector", "embeddings", "ai"]
classifiers = [
"Development Status :: 4 - Beta",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"mcp[cli]>=1.0.0",
"asyncpg>=0.30.0",
"pgvector>=0.3.0",
"numpy>=1.26.0",
"google-genai>=1.0.0",
]
[project.optional-dependencies]
openai = ["openai>=1.0.0"]
local = ["sentence-transformers>=2.0.0", "torch"]
dev = ["pytest", "pytest-asyncio", "ruff"]
all = ["mcp-vector-memory[openai,local,dev]"]
[project.scripts]
mcp-vector-memory = "mcp_vector_memory.server:main"
[project.urls]
Homepage = "https://github.com/daniloluiz/mcp-vector-memory"
Repository = "https://github.com/daniloluiz/mcp-vector-memory"
[tool.hatch.build.targets.wheel]
packages = ["src/mcp_vector_memory"]
[tool.ruff]
line-length = 100
target-version = "py311"
