A
licenseB
qualityF
maintenanceProvides image generation capabilities for Claude using the Replicate Flux model, allowing users to create images from text prompts with customizable parameters like aspect ratio and output format.
1
61 npm
51
MIT
FLUX MCP Server
by kmaurinjones
Related Servers
Alternatives to FLUX MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI image generation and editing using Replicate's official models like Flux, SDXL, and Seedream, with tools to search models and generate images.1,485 npm6Apache 2.0
- AlicenseNot gradedqualityNot gradedmaintenanceEnables high-quality image generation with advanced text rendering and contextual understanding using FLUX.1 Kontext Max through the Replicate API. Supports text-to-image generation, image editing, multiple aspect ratios, and automatically downloads generated images locally.1-
- AlicenseNot gradedqualityDmaintenanceProvides image generation capabilities using the Flux Schnell model on Replicate, allowing users to create images from text prompts.2MIT
- FlicenseNot gradedqualityDmaintenanceImage generation for Claude using every model on fal.ai, inline in conversations. Supports FLUX Schnell, Ideogram, SDXL, and more with privacy option via Venice.ai.-
- AlicenseNot gradedqualityDmaintenanceEnables Claude to generate images on demand using the FLUX.1-schnell model, supporting multiple aspect ratios and saving locally.MIT
TDQS
B3.2/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: one generates images, while the other lists available models. There is no overlap in functionality, and an agent can easily differentiate between them based on their names and descriptions.
Naming Consistency5/5
Both tools follow a consistent 'flux_' prefix with descriptive suffixes ('generate' and 'models'), using snake_case throughout. This pattern is predictable and enhances readability for agents.
Tool Count2/5
With only two tools, the server feels thin for an image generation domain. While it covers generation and model listing, it lacks operations for managing generated images (e.g., delete, list, update) or handling other aspects like prompts or settings, making the scope incomplete.
Completeness2/5
The toolset is severely incomplete for an image generation server. It includes generation and model listing but misses essential operations such as retrieving, deleting, or modifying generated images, and lacks tools for prompt management or configuration, leaving significant gaps in the workflow.
Maintenance
ActivityInactive
ResponsivenessNo issues