← free2aitools.com
INDIVIDUAL MCP TOOL
free2aitools_explain
Explain why one specific entity received its FNI score, returning the 5-factor breakdown: Semantic (S), Authority (A), Popularity (P), Recency (R), Quality (Q).
Input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent endpoint
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.free2aitools-com]
url = "https://free2aitools.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"free2aitools-com": {
"type": "http",
"url": "https://free2aitools.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: free2aitools-com
Remote MCP URL: https://free2aitools.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"free2aitools-com": {
"url": "https://free2aitools.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"free2aitools-com": {
"type": "http",
"url": "https://free2aitools.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "free2aitools-com",
"transport": "streamable-http",
"url": "https://free2aitools.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
free2aitools_search— Keyword discovery over the Free2AITools catalog of AI models, datasets, papers, and tools.free2aitools_rank— Keyword-search AI entities using the task/query text as input and return FNI-ranked catalog entries.free2aitools_select_model— Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries.free2aitools_compare— Compare 2-25 AI catalog entities side-by-side — any catalog entity type (models, datasets, papers, tools), not models only — showing FNI scores, factor breakdown (Semantic, Authority, Popularity, Recency, Quality), specs (params, VRAM, context length) where applicable, and license.