Skip to main content
Glama
pyproject.toml1.65 kB
[project] name = "local-faiss-mcp" version = "0.2.0" description = "MCP server with FAISS local vector database for RAG" readme = "README.md" requires-python = ">=3.10" license = "MIT" authors = [ {name = "Fabio Nonato", email = "nonatofabio@gmail.com"} ] keywords = ["mcp", "faiss", "rag", "vector-database", "semantic-search", "embeddings", "ai"] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Software Development :: Libraries :: Python Modules", ] dependencies = [ "mcp>=0.9.0", "faiss-cpu>=1.8.0", "sentence-transformers>=2.2.0", "numpy>=1.24.0", "pypdf>=4.0.0", "colorama>=0.4.6", "tqdm>=4.66.0", ] [project.urls] Homepage = "https://github.com/nonatofabio/local_faiss_mcp" Repository = "https://github.com/nonatofabio/local_faiss_mcp" Issues = "https://github.com/nonatofabio/local_faiss_mcp/issues" [project.scripts] local-faiss-mcp = "local_faiss_mcp.server:cli_main" local-faiss = "local_faiss_mcp.cli:main" [project.optional-dependencies] dev = [ "pytest>=7.0.0", "pytest-asyncio>=0.21.0", "build>=1.0.0", "twine>=4.0.0", ] [tool.setuptools.packages.find] where = ["."] include = ["local_faiss_mcp*"] [build-system] requires = ["setuptools>=68.0.0", "wheel"] build-backend = "setuptools.build_meta" [tool.pytest.ini_options] filterwarnings = [ "ignore::DeprecationWarning", ]

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nonatofabio/local_faiss_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server