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AI Collection

by FastDrop

MCP Verified 3 hours ago Registry import free

Discover and compare AI tools: search, browse categories, find alternatives and curated picks.

Discover and compare AI tools: search, browse categories, find alternatives and curated picks. Official MCP Registry: io.github.kerbelp/ai-collection@0.1.0. Remote endpoint: https://thataicollection.com/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.kerbelp/ai-collection and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 28 Oct 2026. Not supplied by the maker.

  • search_tools

    Search the AI Collection directory for AI tools matching a query. Returns a ranked list with name, URL, and short description. Use this for 'find me a tool that does X' requests.

  • get_tool

    Fetch the full detail page for a specific AI tool by its linkName. Returns name, full description, category, screenshot, and additional information if available.

  • list_categories

    List all categories in the directory. Useful when the user wants to browse by topic or narrow a search by category.

  • browse_category

    List applications inside a specific category, paginated. Use this when the user wants to explore an area rather than search for a specific tool.

  • get_alternatives

    Given a specific AI tool, return similar tools (same category, excluding the original). Use for 'what's like X?' or 'cheaper alternative to Y' questions.

  • get_top_picks

    Return curated editorial picks across the directory, or within a specific category if provided. Use for 'recommend the best AI tools' or 'top X in Y' questions.

  • compare_tools

    Compare two AI tools side-by-side. Returns structured attributes for both (pricing, deployment, modality, content policy) so the client can recommend which fits a user's needs.

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Matched on shared tags and the tools their MCP servers actually expose.

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