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547,420 tools. Updated 2026-09-11 08:37

"A search for novels or novel-related content" matching MCP tools:

  • Search for novels, audiobooks, comics, and short dramas on FanQie (Tomato) Novel platform using keywords. Supports pagination and content type filtering.
    MIT
  • Manage ruleset packages by searching, installing, removing, listing, binding to a Novel, or rolling on generation tables.
    MIT
  • Manage reusable story elements across novels, including NPCs, factions, rooms, spells, adventures, and voice profiles. Create, list, retrieve, capture, import, and delete entries in the cross-novel library.
    MIT
  • Search note content across your Obsidian vault to find relevant information, locate references, and discover related content using full-text queries.
    MIT
  • Search support tickets in Pylon by keywords, customer names, or issue content to find related issues, check duplicates, or research similar problems.
    MIT

Matching MCP Servers

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    Enables AI tools to collaboratively write novels by managing chapters, characters, and story state through commands like validate, context, draft, review, and approve.
    8
    MIT
  • A
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    MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.
    84
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    MIT

Matching MCP Connectors

  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

  • USPS state code OR.

  • Find web pages semantically similar to a reference URL. Discover related content, competitors, or alternatives without specifying search terms.
    MIT
  • Search your personal library, meetings, and news for content related to any text snippet, connecting ideas across your research.
    AGPL 3.0
  • Generate novel research ideas based on a paper's constraints and inductive biases. Each idea includes suggested search queries for novelty verification.
    MIT
  • Run advanced web searches to retrieve comprehensive information, metadata, related queries, and deeper content extraction for thorough research.
    MIT
  • Find documents semantically related to any file or connector document. Uses vector embeddings to perform similarity search and return the most relevant content.
    MIT
  • Search the OEIS for integer sequences using a name or keyword, like Fibonacci or prime, to find related sequences.
    MIT
  • Retrieve novels, audiobooks, short dramas, comics, batch chapters, or whole books by specifying content type and IDs.
    MIT
  • Checks a novel project for structural and content issues, reporting problems without altering files.
    MIT
  • Locate a PDF and identify related documents by analyzing content patterns and common substrings within a specified directory.
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  • Find related notes in Obsidian by analyzing content or keywords to suggest connections for better knowledge organization.
    MIT