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Free2AITools — AI Model Discovery API & MCP Server

Free2AITools — AI Model Discovery API & MCP Server

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github.com/mosesy5688-cellDeveloper Tools1Updated 2w ago
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About Free2AITools — AI Model Discovery API & MCP Server

Free2AITools is an open-source registry and discovery API for AI models and related resources, aimed at developers and AI agents selecting or comparing options. Its daily refreshed catalog includes FNI rankings with factor breakdowns and hardware-aware filters.

Key features

  1. 01Search models, datasets, papers, tools, and benchmarks
  2. 02Rank entries with FNI factor breakdowns
  3. 03Filter models by VRAM, license, and task
  4. 04Compare catalog entries side by side
  5. 05Access daily refreshed catalog and Parquet exports

Use cases

  1. 01Find models for a task and VRAM constraint
  2. 02Compare models using FNI factor breakdowns
  3. 03Analyze exported catalog data offline

MCP support

The MCP server exposes five tools for search, ranking, explanations, model selection, and comparison. It can be added to an MCP-compatible client using its remote URL.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://free2aitools.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

5
ParameterTypeRequiredDescription
querystringYesNatural language search query (e.g. "code generation", "image segmentation")
limitnumberNoMax results to return (1-20, default 10)
typeenumNoFilter by entity type (default: all)all | model | tool | dataset | paper | benchmark

Details

From the project README

Free2AITools — The Open-Source AI Registry

Discover, rank, and compare AI models, datasets, papers, tools, and benchmarks. Updated daily, scored by the Free2AITools Nexus Index (FNI).

Website: free2aitools.com

What It Does

  • Cross-source catalog — Models, datasets, papers, tools, and benchmarks from HuggingFace, GitHub, ArXiv, Ollama, Replicate, Civitai, and more
  • FNI Ranking — 5-factor composite score (Semantic, Authority, Popularity, Recency, Quality) with full breakdown in every API response
  • Hardware-aware filtering — filter models by VRAM, license, and task-category metadata (heuristic filters, not verified compatibility)
  • Daily Updates — Automated pipeline refreshes all data daily

For Developers & AI Agents

Model Selection API
curl -s https://free2aitools.com/api/v1/select \
  -H "Content-Type: application/json" \
  -d '{"task":"text-generation","constraints":{"max_vram_gb":8}}'

Returns FNI-ranked catalog entries with params, VRAM estimates, license, and a factual FNI factor summary (fni_summary) — not a fit verdict; the caller decides.

Model Comparison API
# <ID_1>,<ID_2> are id values taken from /api/v1/search results — substitute your own.
curl "https://free2aitools.com/api/v1/compare?ids=<ID_1>,<ID_2>"

Side-by-side comparison with FNI factor decomposition. Obtain ids from the Search API first; see the Developer Docs for a runnable search-first flow.

Search API
curl "https://free2aitools.com/api/v1/search?q=code+generation&limit=5"
MCP Server

Add to Claude, Cursor, Windsurf, or any MCP-compatible client:

{
  "mcpServers": {
    "free2aitools": {
      "url": "https://free2aitools.com/api/mcp"
    }
  }
}

5 tools: free2aitools_search, free2aitools_rank, free2aitools_explain, free2aitools_select_model, free2aitools_compare.

Also listed on the Smithery directory listing.

FNI Badge

Embed a live FNI score in your README. Replace <YOUR_UMID> with the id of your entity from a Search API response (this is a template, not a live badge):

![FNI Score](https://free2aitools.com/api/v1/badge/<YOUR_UMID>)
Open Data

Parquet exports available for offline analysis with DuckDB, Pandas, or Spark.

Documentation

No auth required. Free to use.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.