ArXiv MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_papersC | Search for papers on arXiv with advanced filtering |
| download_paperC | Download a paper and create a resource for it |
| list_papersA | List all existing papers available as resources |
| read_paperC | Read the full content of a stored paper in markdown format |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| deep-paper-analysis | Analyze a specific paper in detail |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a distinct and clear purpose: download_paper fetches new papers, list_papers shows existing resources, read_paper accesses stored content, and search_papers finds papers on arXiv. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., download_paper, list_papers, read_paper, search_papers). This uniformity enhances readability and predictability across the tool set.
With 4 tools, the count is appropriate for a focused arXiv server, covering core operations like search, download, list, and read. It's slightly lean but reasonable; adding tools for metadata management or updates could improve coverage without being excessive.
The tool set covers essential arXiv workflows: searching, downloading, listing, and reading papers. Minor gaps exist, such as lacking tools for updating or deleting stored papers, but agents can still perform key tasks effectively within the domain.