InhiblabCore/mcp-image-compression
by Various
A high-performance image compression microservice based on MCP (Modal Context Protocol)
MCP
InhiblabCore/mcp-image-compression
Added 1 June 2026
Overview
InhiblabCore/mcp-image-compression is a TypeScript microservice that compresses images using the Modal Context Protocol. It provides an efficient way to reduce image file sizes for applications that need to handle images within modal or context-driven workflows.
Best for
Best for
Developers building MCP-based applications that need fast image compression
Use cases
- Reducing image payload size in modal or context-based UI components
- Batch compressing images before uploading to a server or cloud storage
- Integrating compression into a toolchain that uses MCP for image processing
How to use
Tools exposed
image_compression
Example client config
{\n "mcpServers": {\n "Image compression": {\n "command": "npx",\n "args": [\n "-y",\n "@inhiblab-core/mcp-image-compression"\n ],\n "env": {\n "IMAGE_COMPRESSION_DOWNLOAD_DIR": "<YOUR_DIR>"\n },\n "disabled": false,\n "autoApprove": []\n }\n }\n} Notes
InhiblabCore/mcp-image-compression is a TypeScript microservice that compresses images using the Modal Context Protocol. It provides an efficient way to reduce image file sizes for applications that need to handle images within modal or context-driven workflows.
33 stars on GitHub. Last updated 2025-06-14. Licensed MIT.
Use cases
- Reducing image payload size in modal or context-based UI components
- Batch compressing images before uploading to a server or cloud storage
- Integrating compression into a toolchain that uses MCP for image processing
Pros
- Minimizes image file sizes without significant quality loss
- Designed for integration with MCP-based systems
- High-performance as a dedicated microservice
Cons
- Limited to the MCP protocol, reducing general applicability
- Small community and project maturity (33 stars)
- Requires a MCP-compatible environment to operate
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Minimizes image file sizes without significant quality loss
- Designed for integration with MCP-based systems
- High-performance as a dedicated microservice
Cons
- Limited to the MCP protocol, reducing general applicability
- Small community and project maturity (33 stars)
- Requires a MCP-compatible environment to operate
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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