MCP.Market

ScholarMuse MCP server

online · 100% uptime
by TopLocalAI·io.github.TopLocalAI/scholarmuse·v1.0.0
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Academic papers, reference verification and research data for AI agents.

B82/100grade B
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Safety scan
B82/100

full report

Adoption
Growing

0 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

ScholarMuse tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 5996ms (auth required)12/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How ScholarMuse compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 63% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
233 ms
faster than 58% of 30,031 servers

Install ScholarMuse in Claude Code, Cursor or VS Code

claude mcp add --transport http scholarmuse https://scholarmuse.ai/mcp
Add to Cursor

What the publisher says

From the ScholarMuse repository's README, as published. We do not edit it. Read it on GitHub

ScholarMuse MCP

Academic research tools for the AI agent you already use.

ScholarMuse connects AI agents to academic papers, reference verification, research datasets, grants, biological and chemical information, and scientific figure tools through one remote MCP endpoint. It provides access to 50+ research sources; upstream availability varies.

  • Website: https://scholarmuse.ai
  • Remote MCP: https://scholarmuse.ai/mcp
  • Transport: Streamable HTTP
  • Authentication: OAuth browser sign-in, with automatic discovery and dynamic client registration. No shared tokens or upstream API keys are included in this repository.
  • Docs: https://scholarmuse.ai/docs
  • Setup guides: https://scholarmuse.ai/connect
  • Privacy: https://scholarmuse.ai/privacy
  • Terms: https://scholarmuse.ai/terms
  • Support: davie@daviechen.com

This repository contains public connection manifests, documentation and branding for the hosted service. The hosted service implementation is not included.

Gemini CLI

gemini extensions install https://github.com/TopLocalAI/scholarmuse-mcp

Complete the browser sign-in when prompted. If needed, use /mcp auth scholarmuse to start authentication. The extension does not bypass tool confirmation.

Cursor, Claude and other MCP clients

Add https://scholarmuse.ai/mcp as a remote Streamable HTTP MCP server and complete OAuth sign-in. See the client-specific setup guides for exact steps. The root plugin.json and mcp.json implement Agent Plugins 1.0.0; .cursor-plugin/plugin.json and .mcp.json provide Cursor-compatible metadata.

Example requests

  • Find recent papers about CRISPR delivery and return their DOIs and source links.
  • Check whether these references are real and flag retraction information when available.
  • Find NIH or NSF grants related to solid-state batteries.
  • Retrieve a protein structure or research dataset and cite its original source.

Start with listcapabilities to inspect available tools and getbalance to check credits. Both are free. Most research data tools are read-only; figure creation and editing create generated assets and consume credits. Ask for explicit user approval before paid figure work.

Pricing and limits

ScholarMuse is a hosted freemium service. Data calls generally cost 1–2 credits; batch verification costs depend on item count. New accounts receive 300 trial credits valid for 30 days, and free accounts receive 30 credits per month. Figure generation costs 100 credits and requires a paid plan or credit pack. Check current pricing and the per-tool costs before use.

If credits are insufficient, the server returns structured details and a top-up link. Do not retry paid calls automatically. Upstream failures and partial results must be surfaced accurately with source attribution.

REST API

Developers may also use the REST API documentation and OpenAPI schema.

Nothing above is checked by us. What we check is on the safety report.

ScholarMuse: common questions

Is ScholarMuse MCP server safe?
Mostly: it is graded B (82/100). Read the ScholarMuse safety report
How do I install ScholarMuse?
It runs remotely at scholarmuse.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does ScholarMuse need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is ScholarMuse maintained?
The last commit was 20 days ago (2026-10-15). The latest release is v1.0.0.
Is ScholarMuse up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does ScholarMuse compare with other MCP servers?
safety score 82/100 (higher than 63% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 233 ms (faster than 58% of 30,031 servers). Full comparison.