Fiji MCP Server
Related Servers
Alternatives to Fiji MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to control RELION 5.x cryo-EM structure determination software through natural language, providing 23 tools for the complete single-particle analysis pipeline.5MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to perform cell segmentation through natural language commands, including 2D/3D segmentation, batch processing, image restoration, and custom model training.12BSD 3-Clause
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to control GIMP for image editing tasks such as opening, resizing, filtering, exporting, and batch processing images through Python-Fu scripting.33 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to create, modify, and manage Figma designs through natural language commands via a specialized MCP server and plugin bridge. It supports a wide range of operations including element creation, property modification, component management, and accessibility checks.13 npm105MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to control Ansys Zemax OpticStudio via ZOS-API, allowing optical design tasks like aperture settings, optimization, and analysis through natural language.9-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to perform image processing tasks such as sprite sheet splitting, resizing, cropping, and batch operations on local images.MIT
TDQS
Scored across 19 tools
Most tools have distinct purposes, e.g., run_macro vs run_batch_macros vs run_workflow are clearly differentiated by descriptions. Some related tools like describe_plugin and search_commands could cause slight confusion but are still separable.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., clear_session_trace, compare_screenshots, list_open_images). No mixing of styles or ambiguous verbs.
With 19 tools, the set is well-scoped for an image processing MCP server covering session management, macro execution, image I/O, and metadata. No signs of bloat or insufficiency.
The tool surface covers core workflows: image management, macro execution, command discovery, and session tracing. Minor gaps like missing direct close_image or ROI manipulation exist but are manageable via macros.