// SCAN REPORT

Google-Scholar-MCP-Server

3 tools. 0 can modify or destroy data without limits.

Read-only server. Low risk, but rate limits prevent runaway API costs.

Last updated: 10 Jun 2026

0 can modify or destroy data

3 read-only

3 tools total

Community server · catalogue entry verified 10/06/2026

How to control Google-Scholar-MCP-Server ↓

TOOL MAP

What Google-Scholar-MCP-Server exposes to your agents

Read (3) Write / Execute (0) Destructive / Financial (0)

Running more than one server? Check your whole stack →

THE RISK

What can go wrong

Even read-only tools carry cost. An agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up bills.

POLICY

How to control Google-Scholar-MCP-Server

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

Cap read operations

{
  "get_author_info": {
    "limits": [
      {
        "counter": "get_author_info_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 Google-Scholar-MCP-Server — 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 GOOGLE-SCHOLAR-MCP-SERVER →

Free to start. No card required.

FULL CATALOGUE

All 3 Google-Scholar-MCP-Server tools

READ 3 tools

Read get_author_info get_author_info Read search_google_scholar_advanced search_google_scholar_advanced Read search_google_scholar_key_words search_google_scholar_key_words

FAQ

Questions about Google-Scholar-MCP-Server

Is the Google-Scholar-MCP-Server MCP server safe to use without restrictions? +

The Google-Scholar-MCP-Server server is primarily read-only with 3 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 Google-Scholar-MCP-Server MCP server expose? +

3 tools across 1 categories: Read. 3 are read-only. 0 can modify, create, or delete data.

How do I enforce a policy on Google-Scholar-MCP-Server? +

Register the Google-Scholar-MCP-Server 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 Google-Scholar-MCP-Server tool call.

Deterministic rules across all 3 Google-Scholar-MCP-Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON GOOGLE-SCHOLAR-MCP-SERVER →

Free to start. No card required.

3 Google-Scholar-MCP-Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.