Skip to main content
Glama

arXiv MCP Server

by LiamConnell
pyproject.toml1.35 kB
[build-system] requires = ["setuptools>=61.0", "wheel"] build-backend = "setuptools.build_meta" [project] name = "arxiv-cli" version = "0.1.0" description = "Python toolkit for searching and downloading arXiv papers, with CLI and MCP server for LLM integration" readme = "README.md" requires-python = ">=3.10" license = {text = "MIT"} authors = [ {name = "Your Name", email = "your.email@example.com"} ] keywords = ["arxiv", "papers", "research", "cli", "pdf", "mcp", "llm", "ai-agents"] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ] dependencies = [ "click>=8.1.0", "pydantic>=2.0.0", "httpx>=0.27.0", "fastmcp>=0.1.0", ] [project.optional-dependencies] dev = [ "pytest>=8.0.0", ] [project.scripts] arxiv = "arxiv.cli:cli" arxiv-mcp = "arxiv.mcp.__main__:main" [project.urls] Homepage = "https://github.com/LiamConnell/arxiv_for_agents" Repository = "https://github.com/LiamConnell/arxiv_for_agents" Issues = "https://github.com/LiamConnell/arxiv_for_agents/issues" [tool.setuptools.packages.find] include = ["arxiv*"] exclude = ["tests*"]

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/LiamConnell/arxiv_for_agents'

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