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InhiblabCore/mcp-image-compression

by Various

A high-performance image compression microservice based on MCP (Modal Context Protocol)

I

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

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