LIVE ENDPOINT
https://mcp.scholarfeed.org/mcp?src=mcp-registry
Connect to this endpoint to inspect the live schema for delete_watch and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description contains a deletion term.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.scholar-feed]
url = "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"scholar-feed": {
"type": "http",
"url": "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: scholar-feed
Remote MCP URL: https://mcp.scholarfeed.org/mcp?src=mcp-registry
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"scholar-feed": {
"url": "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"scholar-feed": {
"type": "http",
"url": "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "scholar-feed",
"transport": "streamable-http",
"url": "https://mcp.scholarfeed.org/mcp?src=mcp-registry"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
search_papers— Search Scholar Feed's 600k+ CS/AI/ML paper corpus.get_paper— Get full details for one or more papers by arXiv ID.get_citations— Get the citation graph for a paper, sorted by citing-paper rank_score (highest-impact first).fetch_fulltext— Extract paper content from an arXiv paper's LaTeX source, falling back to PDF text.find_author— Two-mode author tool.co_author_graph— Find the co-authorship neighborhood of one or more authors.embed_text— Embed a text string into a 768-dim Gemini Flash vector.get_field_orientation— Returns CANDIDATE FOUNDATIONAL PAPERS for a research topic — cheap retrieval only, no synthesis.