// SCAN REPORT

Llm Advisor

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

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

Last updated: 3 Aug 2026

0 can modify or destroy data

4 read-only

4 tools total

Community server · catalogue entry checked 03/08/2026

How to control Llm Advisor ↓

TOOL MAP

What Llm Advisor exposes to your agents

Read (4) 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 Llm Advisor

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

Cap read operations

{
  "compare_models": {
    "limits": [
      {
        "counter": "compare_models_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 Llm Advisor — 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 LLM ADVISOR →

Instant setup, no code required.

FULL CATALOGUE

All 4 Llm Advisor tools

READ 4 tools

Read compare_models Compare 2-5 LLM/VLM models side-by-side: pricing, benchmarks, capabilities. Read get_model_info Get detailed information about a specific LLM/VLM model: pricing, benchmarks, capabilities, Read list_top_models List top-ranked LLM/VLM models for a category. Read recommend_model Get personalized model recommendations based on use case, budget, and requirements.

FAQ

Questions about Llm Advisor

Is the Llm Advisor MCP server safe to use without restrictions? +

The Llm Advisor server is primarily read-only with 4 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 Llm Advisor MCP server expose? +

4 tools across 1 categories: Read. 4 are read-only. 0 can modify, create, or delete data.

How do I enforce a policy on Llm Advisor? +

Register the Llm Advisor 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 Llm Advisor tool call.

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

ENFORCE POLICY ON LLM ADVISOR →

Instant setup, no code required.

4 Llm Advisor tools catalogued and risk-classified — across an index of 46,500+ MCP servers.

// WHERE THIS COMES FROM

These policies come from Llm Advisor'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 →