ArxSource

Read the paper. Find the source.

ArxSource is an open-source Model Context Protocol server that lets AI agents search, read and analyze arXiv papers, and find their code. It runs locally over stdio, keeps papers on disk, and returns bounded, section-aware content so a single tool call never floods the context window.

The working loop: paper ID → outline → one section → citations → code.

• Read precisely. Page through rendered full text, or read the author's original LaTeX one section at a time.
• Follow the literature. Traverse references and citing papers, export BibTeX from arXiv metadata, and keep topic watches that report new papers.
• Find the source. Go from an arXiv ID to the paper's GitHub repository and the Hugging Face models, datasets, and Spaces built on it.

ArxSource is not affiliated with or endorsed by arXiv.

Quickstart

ArxSource needs uv, which provides uvx. No clone or Python environment setup is required.

# Run the server (it waits for MCP messages on stdio)
uvx arxsource-mcp

# Add it to Claude Code for all projects
claude mcp add --transport stdio --scope user arxsource -- uvx arxsource-mcp

For Claude Desktop, Kiro, and other clients that accept the mcpServers JSON shape:

{
  "mcpServers": {
    "arxsource": {
      "type": "stdio",
      "command": "uvx",
      "args": ["arxsource-mcp"]
    }
  }
}

Then ask your agent something like "Find the original Transformer paper, summarize section 3.2 from its LaTeX, and show me its official code."

Papers are stored in ~/.arxsource/papers by default. To use another directory, append "--storage-path", "/absolute/path/to/papers" to args.

Install in other clients

claude mcp add --transport stdio --scope user arxsource -- uvx arxsource-mcp