MCP server for LLM/VLM model selection — compare 300+ models with real-time benchmarks, pricing, and personalized recommendations. No API key
MCP server for LLM/VLM model selection — compare 300+ models with real-time benchmarks, pricing, and personalized recommendations. No API key required.
LLMs have knowledge cutoffs. Ask Claude "what's the best coding model right now?" and it cannot answer with current data. This MCP server fixes that by feeding live model intelligence directly into your AI assistant's context window.
get_model_info — Detailed specs for a specific model: pricing, benchmarks, percentile ranks, capabilities, and a ready-to-use API code example.list_top_models — Top-ranked models for a category. Includes release dates for freshness awareness.compare_models — 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 Includes a Released row so you can spot outdated models at a glance.recommend_model — Personalized top-3 recommendations. Scores combine weighted benchmarks, pricing, capability bonuses, and a freshness bonus (+3 points for models released within 3 months, +1 within 6 months).Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| model | string |
| include_api_example | boolean |
| api_format | enum |
| get_model_info |
{
"mcpServers": {
"llm-advisor": {
"command": "npx",
"args": [
"-y",
"llm-advisor-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Indic transliteration plus Indian name, address, PIN, PAN, GSTIN normalization.
A Model Context Protocol (MCP) server that provides access to Wikipedia content, prioritizing Simple English Wikipedia with intelligent fallback to
The official TypeScript library for the Lithic API
This package is officially distributed via: - **PyPI**: https://pypi.org/project/mcp-server-ollama-bridge/ - **GitHub**