INDIVIDUAL MCP TOOL

create_watch

Create a standing watch — evaluated daily against newly-indexed papers, surfacing new matches via the email digest and via check_watches.

scholarfeed.orgnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.scholarfeed.org/mcp?src=mcp-registry

No auth detected

Connect to this endpoint to inspect the live schema for create_watch and invoke it with your own arguments.

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

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.

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.