Skip to main content
Glama
kyuza1

LPC Character Generator — MCP

by kyuza1
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to LPC Character Generator — MCP

No user-submitted related servers found.

    Related Servers

    • pixel-sprite

      MCPBytes
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables generating animated 32x32 character sprite sheets — with walk cycles, frame PNGs, looping GIFs, QA metadata and Godot/Unity exports — from a text prompt or reference image, running locally on an NVIDIA GPU or through a hosted cloud backend. It exposes a single create_pixel_sprite tool that writes the files to disk and returns enlarged previews so an MCP client can inspect and iterate on the result.
      46 PyPI
      2
      AGPL 3.0

    • Aseprite MCP Server

      rafidaaziz23
      A
      license
      B
      quality
      C
      maintenance
      Enables users to automate the creation, editing, animation, and export of pixel-art game assets through a multi-agent pipeline that derives style specs and blueprints, generates Lua build scripts, and drives the canvas editor to produce .aseprite files, spritesheets, atlases, GIFs, and previews.
      12
      91 npm
      3
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.5/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools target clearly distinct operations (search, get, list, generate, preview, import/export URL, cache/definitions). Some overlap exists between random_character (returns items for review) and generate_batch (saves many random characters), and between preview_character and generate_character, but the descriptions do clarify the distinction.

    Naming Consistency4/5

    Eight of eleven tools follow a verb_noun pattern (generate_character, search_items, etc.), but to_site_url and from_site_url use a directional preposition pattern, and random_character is adjective_noun. All are snake_case and readable, so these are minor deviations.

    Tool Count5/5

    The 11 tools are well-scoped for a character generator, covering item discovery, randomization, single/batch generation, preview, URL conversion, and maintenance. Each tool earns its place without redundancy.

    Completeness4/5

    The core lifecycle is covered: discover items (search/list/get), randomize, preview, generate single and batch, import/export URLs, and manage cache/definitions. Minor gaps include no dedicated tool to list all body types or animations, though agents can infer these from descriptions or use search filters.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources