Inkbolt vector and raster editor

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, 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.

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

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:

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.