What is the mcp MCP server?

spronta/mcp — Spronta Image CDN — MCP server for LLM integrations AgentRank score: 53.3/100.

Is the mcp MCP server actively maintained?

The mcp MCP server was last committed 1d ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp MCP Server

Name: spronta/mcp
Rating: 3.1 (1 reviews)
Author: spronta

spronta/mcp

Score: 53.3 Rank #50 MCP Server

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Spronta Image CDN — MCP server for LLM integrations

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Overview

spronta/mcp is a TypeScript MCP server licensed under MIT. Spronta Image CDN — MCP server for LLM integrations

Ranked #50 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Good

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 1d ago

Matched Queries

"mcp server""mcp-server"

From the README

# @spronta/mcp

MCP server for uploading, transforming, and serving images on a global CDN — directly from AI assistants.

Connect Claude, GPT, Cursor, Windsurf, or any [MCP](https://modelcontextprotocol.io)-compatible client to the [Spronta](https://www.spronta.com) Image CDN. Upload images from URLs or base64, apply real-time transforms (resize, crop, format conversion, smart crop, blurhash), create reusable presets, generate signed URLs, and monitor usage — all through natural language.

## Why use this?

- **Upload images from AI** — give your LLM an image URL and it uploads, optimizes, and returns a CDN link
- **Real-time transforms** — resize, crop, convert to WebP/AVIF/JXL, smart crop with face detection
- **Global CDN delivery** — images served from edge locations worldwide
- **Blurhash generation** — automatic blur placeholders computed on upload
- **Signed URLs** — HMAC-SHA256 signed URLs with expiration for private images
- **Named presets** — create reusable transform confi

Read full README on GitHub →