// SCAN REPORT

AI-Scholarly-Mode

4 tools. 2 can modify or destroy data without limits.

1 write tool that can modify data. Rate limits recommended.

Last updated: 4 Aug 2026

2 can modify or destroy data

2 read-only

4 tools total

Community server · catalogue entry checked 04/08/2026

How to control AI-Scholarly-Mode ↓

TOOL MAP

What AI-Scholarly-Mode exposes to your agents

Read (2) Write / Execute (1) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous AI-Scholarly-Mode tools

Execute · Medium scholarly-mode-start Start scholarly mode. This tool returns a systemPrompt for you to use while you are in scholarly mode.

2 of AI-Scholarly-Mode's 4 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control AI-Scholarly-Mode

PolicyLayer is an MCP gateway — it sits between your AI agents and AI-Scholarly-Mode, and nothing reaches the server without passing your rules. These are the rules we recommend:

Cap read operations

{
  "get_articles_list": {
    "limits": [
      {
        "counter": "get_articles_list_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register AI-Scholarly-Mode — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON AI-SCHOLARLY-MODE →

Instant setup, no code required.

FULL CATALOGUE

All 4 AI-Scholarly-Mode tools

EXECUTE 1 tools

Execute scholarly-mode-start Start scholarly mode. This tool returns a systemPrompt for you to use while you are in scholarly mode.

READ 2 tools

Read get_articles_list Get articles list Read get_springer_article_data Get Springer article data

OTHER 1 tools

Other scholarly-mode-stop Stop scholarly mode. This tool returns a systemPrompt for you to use while you are not in scholarly mode.

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about AI-Scholarly-Mode

Is the AI-Scholarly-Mode MCP server safe to use without restrictions? +

The AI-Scholarly-Mode server is primarily read-only with 2 read tools. While it cannot modify data, an agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up costs. Rate limiting is still recommended.

How many tools does the AI-Scholarly-Mode MCP server expose? +

4 tools across 2 categories: Execute, Read. 2 are read-only. 2 can modify, create, or delete data.

How do I enforce a policy on AI-Scholarly-Mode? +

Register the AI-Scholarly-Mode MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every AI-Scholarly-Mode tool call.

Deterministic rules across all 4 AI-Scholarly-Mode tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON AI-SCHOLARLY-MODE →

Instant setup, no code required.

4 AI-Scholarly-Mode tools catalogued and risk-classified — across an index of 46,500+ MCP servers.

// WHERE THIS COMES FROM

These policies come from AI-Scholarly-Mode's registry record.

The record behind this page: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →