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Alternatives to mcp-cinema

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    Related Servers

    • A
      license
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      quality
      D
      maintenance
      Enables offline CRUD and semantic search on Wikipedia ZIM archives via MCP tools for reading, writing, editing, deleting, and searching articles.
      1
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    • A
      license
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      quality
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      Enables any MCP client to index files, directories, and arbitrary text into a local SQLite-backed vector database and perform semantic search with language-aware chunking, filters, and context expansion, all offline without network calls.
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    • A
      license
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      quality
      C
      maintenance
      An MCP server that exposes a single tool to retrieve Wikipedia articles from local multistream dump files, offering fast offline access with redirect following and fuzzy matching.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Wikipedia MCP server (read-only): search articles, read plain-language summaries or full text, follow links, browse categories, pull references with source URLs, flag missing citations, resolve disambiguation pages, and check revision history and pageview stats — all via the public Wikipedia API.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to search and retrieve clean, structured content from local offline ZIM archives such as Wikipedia, medical docs, DevDocs, and Stack Exchange through a unified MCP interface.
      -

    TDQS

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    get_film and search_films have clearly distinct purposes: one retrieves full details by film_id, the other performs semantic search by query and filters. The descriptions explicitly link them (get_film uses film_id from search_films), leaving no ambiguity.

    Naming Consistency5/5

    Both names follow a consistent snake_case verb_noun pattern: get_film and search_films. The convention is predictable and readable throughout.

    Tool Count3/5

    Two tools is thin for a cinema domain, even if the server is intentionally minimal. It covers search and retrieval but lacks other common operations (e.g., listing genres, getting people, or browsing without a query), making the set feel under-scoped.

    Completeness4/5

    The core read-only workflow is covered: semantic search with filters and full film details by ID. Minor gaps exist (e.g., no way to list films without a query or explore related entities), but agents can work around them for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues