INDIVIDUAL MCP TOOL

search_papers

Semantic search over accepted papers from top AI conferences.

aiconfpaper.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://aiconfpaper.com/mcp

No auth detected

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

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Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aiconfpaper]
url = "https://aiconfpaper.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "aiconfpaper": {
      "type": "http",
      "url": "https://aiconfpaper.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: aiconfpaper
Remote MCP URL: https://aiconfpaper.com/mcp

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": {
    "aiconfpaper": {
      "url": "https://aiconfpaper.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "aiconfpaper": {
      "type": "http",
      "url": "https://aiconfpaper.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "aiconfpaper",
  "transport": "streamable-http",
  "url": "https://aiconfpaper.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_paper — Full record for one paper_id from search results: abstract, BibTeX, live citation count, and links including arxiv_src (the LaTeX source bundle, https://arxiv.org/src/{id}) and code.
batch_get_papers — Batch version of get_paper: full abstracts + BibTeX + links for up to 50 paper_ids in ONE call — use this instead of looping get_paper.
find_similar_papers — Nearest neighbors of a seed paper in embedding space (instant — reuses its stored vector).
list_facets — Valid `venues` filter values with per-venue year coverage ({venue: {min, max, count}}), tier values, and the overall year range — call once to construct valid search filters instead of guessing venue spellings.