Skip to main content
Glama
david-wang-0

okular-mcp

by david-wang-0
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to okular-mcp

No user-submitted related servers found.

    Related Servers

    • PrecisionPDF-MCP

      tobiasGuta
      A
      license
      A
      quality
      B
      maintenance
      Enables a conversational workflow to read local PDFs, propose exact word-level passages, apply colored highlights, and inspect saved annotated copies, plus recolor or remove existing highlights. All PDF and image I/O stays confined to a single workspace directory, with fingerprint verification and atomic saves so originals are never overwritten.
      10
      MIT

    • omapdf-mcp

      pbergin11
      A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI agents tools to read PDFs, list form fields, apply operations, highlight, add notes, fill fields, place signatures, list signatures, and flatten PDFs.
      1
      AGPL 3.0

    • RAG Database MCP Server

      Human-center
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
      -

    • bookd

      AK-Monkey
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to query a local reader's current state (book, chapter, CFI, visible text, selection) and perform actions like opening books, navigating by CFI or progress, searching, and creating or clearing highlights.
      MIT

    • PDF Agent MCP

      vlad-ds
      A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.
      7
      16
      ISC
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: viewer state, selection, page text, context around selection, links, outline, annotations, annotation creation/reading/removal, and navigation. Slight conceptual overlap exists between context/page_text and mark_text/add_note, but the descriptions clearly delimit them.

    Naming Consistency3/5

    All names use snake_case, but the pattern mixes noun phrases (viewer_state, annotations, outline) with verb_noun forms (get_selection, mark_text, remove_annotation, goto). It remains readable, but there is no single predictable convention across the set.

    Tool Count5/5

    13 tools is well within the ideal range and matches a PDF reading/annotation server's scope. Each tool represents a distinct operation, and none feels redundant or excessively granular.

    Completeness4/5

    The surface covers reading, navigation, annotation creation/reading/deletion, and attachments. Minor gaps remain: no explicit save or full-text search operation, and annotations cannot be modified in place, but the core lifecycle is covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources