get_ai_papers
Get trending or searched AI/ML research papers from HuggingFace Papers. Returns trending papers for a given date or search results by keyword.
Parameters
qdatetypelimitAI/ML Research Papers
org.memoryapiPublished by memoryapi.orgOfficial publisherv1.0.0Updated Oct 24, 2026
AI/ML research papers from arXiv, DBLP, and HuggingFace
Overview
AI-generated overview
Lets an assistant look up AI and machine learning research papers from arXiv, DBLP, and HuggingFace through a hosted remote endpoint.
- What you can do
- This remote MCP server is described as providing AI/ML research papers from arXiv, DBLP, and HuggingFace. The registry description names those three sources but does not list individual tools, so the exact search, listing, or retrieval operations are not documented here. It is a hosted streamable HTTP endpoint rather than a local package.
- When to use it
- Worth adding when you want an assistant to find or pull in AI and machine learning papers from arXiv, DBLP, or HuggingFace during research, literature review, or background reading. Less useful if you need documented tool names or offline access, since no tools are listed.
- Requirements
- A remote MCP endpoint at over streamable HTTP. No packages, environment variables, headers, or authentication are declared. Network access to that endpoint is required.
Before you install
No credentials, payments, or write actions are declared, and the manifest lists no tools, so the exact operations are unverified. Requests go to a third-party remote endpoint, which can see the queries and any content sent to it; avoid submitting confidential material.
Installation
In SourceWeft
- Open AI/ML Research Papers in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/org.memoryapi%2Fai/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"ai-ml-research-papers": {
"type": "http",
"url": "https://ai.memoryapi.org/mcp"
}
}
}Tools
3search_arxiv_ai
Search arXiv for AI/ML papers by keyword and category. Returns recent submissions sorted by date.
Parameters
qlimitcategorysearch_dblp
Search DBLP computer science bibliography for publications or authors. Free, no key required.
Parameters
qlimitauthorVersion history
1- v1.0.0LatestSep 16, 2026
Score
72% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listedRequired15 pts
- DescriptionRequired15 pts
- Logo10 pts
Publish an icon in the registry entry.
- Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
- LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.
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