daichi-kudo avatar

Llm Advisor

daichi-kudo/llm-advisor-mcp

Gives Claude real-time access to pricing and benchmark data for 336+ LLM and VLM models from five sources including SWE-bench, LM Arena Elo, and OpenCompass. Exposes four tools: get_model_info for detailed specs with code examples, list_top_models for category rankings (coding, math, vision, reasoning), compare_models for side-by-side tables, and recommend_model for filtered suggestions based on price, context window, and capabilities. Data refreshes hourly from public APIs with no authentication needed. Returns compact Markdown tables instead of raw JSON to save context window space. Useful when you need current model performance data that post-dates your assistant's training cutoff, or when comparing options for a specific task with budget constraints.

GitHub stars
2
tools
4
transport
STDIO
last updated
Jun 17, 2026

Tools

4 tools

Public tool metadata for what this MCP can expose to an agent.

get_model_infoDetailed specs for a specific model: pricing, benchmarks, percentile ranks, capabilities, and a ready-to-use API code example.

Detailed specs for a specific model: pricing, benchmarks, percentile ranks, capabilities, and a ready-to-use API code example.

No parameter schema in public metadata yet.

list_top_modelsTop-ranked models for a category. Includes release dates for freshness awareness.

Top-ranked models for a category. Includes release dates for freshness awareness.

No parameter schema in public metadata yet.

compare_modelsSide-by-side comparison for 2-5 models. Best values are bolded automatically. Includes a Released row so you can spot outdated models at a glance.

Side-by-side comparison for 2-5 models. Best values are bolded automatically. Includes a Released row so you can spot outdated models at a glance.

No parameter schema in public metadata yet.

recommend_modelPersonalized top-3 recommendations. Scores combine weighted benchmarks, pricing, capability bonuses, and a freshness bonus.

Personalized top-3 recommendations. Scores combine weighted benchmarks, pricing, capability bonuses, and a freshness bonus.

No parameter schema in public metadata yet.

Sponsors

Readme

llm-advisor-mcp

npm version npm downloads CI License: MIT Node.js >= 18 TypeScript

Glama MCP server

English | 日本語

Give your AI assistant real-time LLM/VLM knowledge. Pricing, benchmarks, and recommendations — updated every hour, not every training cycle.


View the full README on GitHub

Details

Repository
github.com/daichi-kudo/llm-advisor-mcp
Category
AI & LLM Tools
Package
llm-advisor-mcp
Transport
STDIO
Registry
MCP registry, active

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