Free2AITools — AI Model Discovery API & MCP Server

Name: Free2AITools — AI Model Discovery API & MCP Server
Author: mosesy5688-cell

@mosesy5688-cell

リポジトリ

Free2AITools — AI Model Discovery API & MCP Server について

概要はまだありません

#ai-models #model-discovery #model-selection #huggingface #ranking #search

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

mosesy5688-cell

投稿者

mosesy5688-cell

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "free2aitools": {
      "url": "https://free2aitools.com/api/mcp",
      "transport": "streamable-http"
    }
  }
}

ツール

Search and rank AI tools, models, datasets, and papers by FNI score. Returns ranked results.

Rank AI tools by FNI score for a given task context. Ideal for AI agents selecting the best tool.

Explain why a specific AI tool received its FNI ranking score. Search by name to get factor breakdown.

Select the best AI model for a task with hardware/license constraints. Returns ranked recommendations with rationale.

Compare 2-10 AI models side-by-side with FNI factor decomposition.

概要

What is Free2AITools — AI Model Discovery API & MCP Server?

A free, open-source registry and API for discovering, ranking, and comparing AI models, datasets, papers, tools, and benchmarks. It aggregates data daily from HuggingFace, GitHub, ArXiv, Ollama, Replicate, Civitai, and more, and scores entries using the Free2AITools Nexus Index (FNI) — a five-factor composite score. Designed for developers and AI agents.

How to use Free2AITools — AI Model Discovery API & MCP Server?

Send HTTP requests to the API endpoints (/api/v1/select, /api/v1/compare, /api/v1/search) or add the MCP server to MCP-compatible clients (Claude, Cursor, Windsurf) by specifying "url": "https://free2aitools.com/api/mcp". No authentication required.

Key features of Free2AITools — AI Model Discovery API & MCP Server

Cross-source catalog from multiple AI platforms
FNI ranking with full factor breakdown per entry
Hardware-aware filtering by VRAM, license, and task
Daily automated data refresh pipeline
MIT licensed and free to use
Exports available as open Parquet files

Use cases of Free2AITools — AI Model Discovery API & MCP Server

Select the best text‑generation model fitting within 8GB VRAM
Compare two models side‑by‑side using FNI factors
Search for code‑generation tools and rank results
Embed live FNI scores as badges in project READMEs
Offline analysis of the full catalog with DuckDB or Pandas

FAQ from Free2AITools — AI Model Discovery API & MCP Server

What data sources does Free2AITools use?

It aggregates models, datasets, papers, tools, and benchmarks from HuggingFace, GitHub, ArXiv, Ollama, Replicate, Civitai, and more.

How is the FNI score calculated?

The FNI (Free2AITools Nexus Index) is a five‑factor composite score covering Semantic, Authority, Popularity, Recency, and Quality. The full breakdown is returned in every API response.

Does it require authentication or API keys?

No. The API and MCP server are free to use without any authentication.

What are the runtime requirements for the MCP server?

The MCP server is a remote endpoint (URL: https://free2aitools.com/api/mcp) — no local installation needed. Just configure the URL in your MCP‑compatible client.