LLM Advisor MCP Server
Give your AI assistant real-time LLM/VLM knowledge. Pricing, benchmarks, and recommendations - updated every hour, not every training cycle. It runs locally over stdio via the published package.
People connecting this server to Claude, Cursor, VS Code, or another MCP client. The project is written in TypeScript.
VERIFIED ACTIVE
LAST COMMIT 2026-06-18 · ★ 2 · #414 OF 848 MAINTAINED OTHER · VERIFIED 2026-08-25
MIT · TypeScript servers · how we verify → /methodology
01 · Install LLM Advisor
before you install - you'll need
The README does not document required environment variables for a basic install.
Claude Code
claude mcp add daichi-kudo-llm-advisor-mcp -- npx -y llm-advisor-mcp Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"daichi-kudo-llm-advisor-mcp": {
"command": "npx",
"args": [
"-y",
"llm-advisor-mcp"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license MIT - declared in the repository
npm package llm-advisor-mcp - unscoped; check the name against the project README before installing
registry namespace io.github.Daichi-Kudo is GitHub-verified and matches the repo owner
03 · What LLM Advisor can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
What you can build
An agent gets 1 documented tool, including get_model_info.
The 1 tools it gives your agent
Extracted from the project's README - what llm-advisor lets an agent do.
- get_model_info
- - Detailed specs for a specific model: pricing, benchmarks, percentile ranks, capabilities, and a ready-to-use API code example.
Latest releases
v0.4.2 · 2026-02-26
What's New in v0.4.x · v0.4.2 · Registered to Official MCP Registry (io.github.Daichi-Kudo/llm-advisor) · Added Dockerfile for containerized deployment · v0.4.1 · Rewrote README.md with badges, use cases, compatible…
04 · Who maintains LLM Advisor
llm-advisor is maintained by daichi-kudo. It's the only MCP server we track from this author; the repo dates to Feb 2026.
05 · Facts
- repository
- github.com/daichi-kudo/llm-advisor-mcp
- category
- other - ranked #414 of 848 actively-maintained other servers as of 2026-08-25.
- registry
- io.github.Daichi-Kudo/llm-advisor (active, first published 2026-02-24 · 4 versions)
- packages
- npm:llm-advisor-mcp
06 · LLM Advisor FAQ
What is LLM Advisor?
Give your AI assistant real-time LLM/VLM knowledge. Pricing, benchmarks, and recommendations - updated every hour, not every training cycle. It runs locally over stdio via the published package.
Is LLM Advisor still maintained?
Yes - as of 2026-08-25, its last commit was 2026-06-18. We re-verify nightly.
How do I install LLM Advisor?
Run `npx -y llm-advisor-mcp`. The README does not document required environment variables for a basic install. You can also paste the ready-made client config above.
Does LLM Advisor run locally?
Yes - it's a stdio server: it runs on your machine (via npx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to LLM Advisor
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