Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Academic papers, reference verification and research data for AI agents.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Works in Claude on the web, desktop and mobile:
https://scholarmuse.ai/mcpRun this in your terminal
claude mcp add --transport http scholarmuse https://scholarmuse.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"scholarmuse": {
"url": "https://scholarmuse.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"scholarmuse": {
"type": "http",
"url": "https://scholarmuse.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://scholarmuse.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account TopLocalAI, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 23 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
This repository contains public connection manifests, documentation and branding for the hosted service. The hosted service implementation is not included.
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.
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.
Start with list_capabilities to inspect available tools and get_balance 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.
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.
Developers may also use the REST API documentation and OpenAPI schema.