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Free2AITools — AI Model Discovery API & MCP Server

@mosesy5688-cell

About Free2AITools — AI Model Discovery API & MCP Server

No overview available yet

Basic information

Category

Developer Tools

License

MIT

Runtime

node

Transports

stdio

Publisher

mosesy5688-cell

Submitted by

mosesy5688-cell

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

5

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.

Overview

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.

What are the available MCP tools?

Five tools: free2aitools_search, free2aitools_rank, free2aitools_explain, free2aitools_select_model, and free2aitools_compare.

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