VectorMagic MCP Server
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- FlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude Desktop, Claude Code, Cursor, and VS Code to drive a local CorelDRAW instance through natural language via its COM API, covering batch image search and PowerClip placement, batch data/sign board production, org-chart generation, shape and bitmap import, and export. All edits run through session and version-checked atomic operations that roll back on error and can be undone in one step.-

Pic2Vector MCPofficial
AlicenseAqualityCmaintenanceEnables AI assistants such as Claude Desktop, Cursor, and VS Code to convert local or remote PNG and JPG images into SVG vectors through a single vectorize_image tool, using offline vtracer tracing in color or black-and-white modes.1MIT- FlicenseNot gradedqualityDmaintenanceEnables AI agents to automate Adobe Illustrator, converting bitmap artwork into editable .ai files, running ExtendScript, and capturing the Illustrator window for visual QA.1-

vectorplease-mcpofficial
AlicenseAqualityBmaintenanceConverts PNG, JPEG, or WebP bitmaps into sticker-ready SVGs from any MCP client, taking local paths, HTTPS URLs, or base64 input, optionally applying a preset and writing the result to a file while returning quality metrics. It also lists available artwork presets and retrieves the result of a conversion that was still running.3MIT- FlicenseBqualityCmaintenanceEnables natural language control of Adobe Photoshop and Illustrator via COM automation on Windows, supporting design tasks and batch processing without UXP plugins.30-
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TDQS
Scored across 3 tools
The three tools target clearly distinct operations: single-image conversion, batch conversion, and environment/health status. There is no overlap or plausible misselection between vectorize_image and vectorize_batch since the scope difference (one vs many) is explicit.
All names use snake_case with a verb_noun pattern (vectorize_image, vectorize_batch, get_vector_magic_status). The verbs differ meaningfully but the convention is uniform and predictable.
Three tools is a tight, well-scoped surface for an image-to-vector conversion service: one for a single file, one for batches, one for environment checks. It is slightly lean but each tool clearly earns its place.
The core lifecycle of vectorizing images (single, batch) plus a status/preflight check is covered, and format support is reported via status. Minor gaps like querying or re-rendering prior results without re-running are acceptable workarounds.