A side-by-side look at the Openreview and Paperswithcode MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Openreview for research work as a local process; choose Paperswithcode for research as a local process. You can also run both side by side in one mcpServers block.
list_venues, get_venue, list_submissions.search_papers, trending_papers, get_paper.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Research | Research |
| Quality signal | 59/100 · Good | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 6 | 4 |
| Full listing | View Openreview | View Paperswithcode |
list_venuesList venue groups (conferences, workshops). Use the returned group id to query submissions.get_venueVenue (group) metadata by group id.list_submissionsPapers submitted to an academic CONFERENCE venue on OpenReview — ICLR, NeurIPS, ICML, COLM and similar. PREFER for "ICLR 2024 papers about diffusion models", "NeurIPS submissions on RLHF", "what did ICML publish on optimizers". Pass the venue group id as venue_id (use list_venues to find it) together with a topic in query.get_noteSingle note — paper, review, comment, decision, etc.get_paperPaper + all child notes (reviews, rebuttal, decision, metareview). Pass the forum id (= paper note id).search_notesFull-text search across OpenReview notes (papers, reviews, decisions) by query string; optionally restrict to a content field (e.g. title, abstract) or filter by author signature; returns matching note ids, titles, and venues.search_papersSearch machine-learning / AI research papers (via Hugging Face Papers, the successor to Papers with Code). Returns arXiv id, title, authors, community upvotes, and a linked GitHub repo when available. Use for "papers on <topic>", "recent ML research about X".trending_papersToday's trending ML/AI papers (or a given day's), ranked by community upvotes, via Hugging Face Papers. Use for "what are the hot AI papers", "trending ML research", "top papers this week".get_paperGet full detail for a paper by its arXiv id (e.g. "2312.00752"): title, authors, abstract, AI-generated summary and keywords, community upvotes, and counts of linked models / datasets / demo Spaces.get_repositoriesFind IMPLEMENTATIONS of a paper (by arXiv id): the linked GitHub repository plus the most popular Hugging Face models, demo Spaces, and datasets that implement or reproduce it — the "papers with code" view. Use for "code/implementation for <paper>", "models trained on <paper>".Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"openreview": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-openreview"
]
}
}
}
{
"mcpServers": {
"paperswithcode": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-paperswithcode"
]
}
}
}