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Inkbolt vector and raster editor

作者:skulitom版本 0.82.0i★ –i在你的电脑上运行
注册名称io.github.skulitom/inkbolt

安装

概览

作者提供的说明(英文原文)

Local vector and raster editing engine for agents: layered documents, saved sessions and exports.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 skulitom 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7271 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7271 个服务器的 63% 更新
  • 基础检查结果等于或优于此分类中其他 7271 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Inkbolt vector and raster editor 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.82.0)于22天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Inkbolt

Local vector and raster editing for AI agents.

Inkbolt gives agents an editable graphics workspace for diagrams, illustrations, layouts and image assets. Create or import artwork, make focused changes, inspect previews and export the result while keeping the source and revision history.

It runs locally through MCP over stdio, a JSON command-line interface, or the Rust library. There is no account, network service or telemetry, and no particular AI model is required.

Install and connect · Try the examples · Download a release

What you can do

  • Compose graphics with vector shapes, text, images, layers and artboards.
  • [Combine shapes](docs/BOOLEANS.md), including circles and ellipses, into editable paths in one undoable edit. Precision and conversion losses are reported; source shapes can be kept, hidden or removed.
  • Import artwork from SVG, PNG, JPEG and TIFF. Supported SVG content stays editable, including styles, reusable symbols, placed images and positioned text.
  • Select and mask image regions with feathered edges or foreground/background seeds. Keep masks editable and preserve the original image samples.
  • Edit and repair images with brushes, adjustments, patches, region fills, content-sensitive moves and guided edge correction. Native storage supports high-precision samples and shares unchanged data across edits.
  • Review revisions with previews, comparisons, saved sessions and undo/redo.
  • Deliver assets as PNG, JPEG, TIFF, SVG or PDF within the supported workflows. Preflight reports output size and conversion losses before publication; file delivery preserves sources and refuses to overwrite existing outputs.

Agents discover tools and request individual operation schemas as they work. Unsupported features fail explicitly; declared approximations and conversion losses are reported.

How agents work with Inkbolt

  1. Discover the relevant tools and create or import a document.
  2. Make focused edits, preview the result and compare revisions.
  3. Save the editable session, check the intended export and publish to a new file.

Saved sessions let an agent resume work later with the document's revision history.

Get started

This README describes `main`. Download a release for a packaged build, or build from source for the newer features below. Follow the installation guide for your system and MCP client.

VersionWhat to expect
v0.82.0 releaseWindows x64, Linux x64 and macOS Apple silicon archives, plus a Windows desktop extension bundle. Release notes describe the included features.
Build from mainAdds larger image editing, native JPEG import, guided selections and masks, patch repair, editable layered imports, focused previews for large images, lower-memory exports, and atomic shape combinations with reported curve precision. The large-image workflows described below require this newer source build.

For an MCP client, use this launch command with the path to an existing folder where you want to work:

inkbolt --workspace PATH_TO_EXISTING_FOLDER mcp --tools essentials

Source builds offer the ten-tool essentials catalog for compact discovery; use --tools core with the v0.82.0 release. Agents can request more operations and their schemas when needed. Source builds also provide focused request examples and workspace guidance through discovery.

Documentation

Start hereDetails
ExamplesRunnable graphics and image workflows
Agent interface and tool discoveryCommands, MCP tools and schemas
Workspaces and sessionsLocal resources, saved work and revision references
SVG import, image import and layered importEditable inputs, source precision and conversion limits
Selections, masks and image repairImage editing workflows and operation limits
Large-image workflows24 MP import, 50 MP editing, A2 delivery and 8192 x 8192 rendering; brush and retouch bounds
Image exportPNG/JPEG/TIFF file output, preflight and memory bounds
Capabilities and limitsVerified behavior and links to feature contracts
Platform support and benchmark resultsTested systems, agent evaluations and remaining gaps
Workload measurementsReproducible runtime and memory checks, including Linux CLI and MCP sessions

For context on other tools, see SVG and vector editing MCP servers for AI agents: 9 compared. The comparison was checked on 18 October 2026: Inkbolt was measured over MCP; the other servers were reviewed through their code and documentation.

Project status

Inkbolt is under active development. The core engine, CLI/MCP, saved sessions and file-delivery receipts are tested on Windows, Linux and macOS. Background export jobs currently require Windows. The platform guide records tested revisions and the scope of each platform's coverage.

The following large-image workflows have passed independent output checks on Windows and Linux:

WorkflowChecked size
Baseline and progressive JPEG import24 MP
16-bit image editing: cloned patch, selected brush, repair, feathered mask, undo/redo and TIFF export50 MP
A2 page delivery as PDF and PNG300 ppi
Rendering and PNG export with opaque, translucent and transparent regions8192 x 8192

These checks use fixed original fixtures and preserve source files and revision history. Windows regression budgets use five baseline repetitions and a separate five-repeat check. Each operation retains its own size, precision and work limits; cross-platform performance acceptance remains in progress.

Image-guided selection supports direct analysis of bounded regions and an opt-in whole-image mode. The latter uses a coarse image and refines boundaries at full resolution; it can miss small features. Both preserve the original image samples.

Editable RGB8 layered imports have also been checked at 8192 x 8192 on Windows and Linux. Larger canvases require an explicit import option. The native path reads larger encoded files in bounded chunks; its contract lists separate file, metadata and content limits.

Work in progress includes broader layered-file interchange, broader curve combinations, editable format interchange, agent usability and cross-platform performance acceptance.

The primary plan tracks development priorities. Benchmark results record agent evaluations and their limitations separately from engine feature coverage.

Contributors can start with the development guide, architecture and source requirements. Routine verification targets 2-3 minutes, with full checks at milestones.

License

Inkbolt is MIT licensed. Dependencies retain their own licenses; see third-party notices.

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