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Smartipedia

by @fastdrop

MCP Verified 9 days ago Registry import free

Read, search and edit Smartipedia, an open AI-native encyclopedia. No API key, no signup.

Read, search and edit Smartipedia, an open AI-native encyclopedia. No API key, no signup. Official MCP Registry: io.github.sksareen/smartipedia-mcp@0.1.0. Remote endpoint: https://smartipedia.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.sksareen/smartipedia-mcp 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 4 Sept 2026. Not supplied by the maker.

  • search_topics

    Keyword search over Smartipedia article titles and summaries. Returns slugs and summaries; call read_topic with a slug for the full article.

  • discover_topics

    Semantic search with optional filters. Use when keyword search misses, or to browse a category by meaning rather than exact wording.

  • read_topic

    Fetch the full Markdown article for a topic slug, with infobox and citations.

  • create_topic

    Generate a new sourced encyclopedia article from a title (web search + LLM, ~15s). Returns the existing article instead if the topic is already covered. Daily rate limit applies — search first.

  • preview_phrase

    Get a short AI explanation of any phrase without generating a full article. Cheap and fast — use it to decide whether a topic is worth creating.

  • edit_section

    Replace one section of an article with corrected Markdown. Preferred over creating a duplicate topic when you find an error. Pass expected_revision (from read_topic) to avoid clobbering a concurrent e

  • list_missing_topics

    Topics people searched for that don't exist yet, ranked by demand. The highest-leverage queue for deciding what to write next.

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