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Glama

Image Processor MCP Server

by jbergant

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
BLOB_READ_WRITE_TOKENYesVercel Blob storage token for read/write access

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
process_and_upload_image

Process a local image file (optimize, resize, convert to WebP) and upload to Vercel Blob

process_and_upload_image_from_url

Process an image from a URL (optimize, resize, convert to WebP) and upload to Vercel Blob

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jbergant/mcp_image_processor_to_vercel_blob'

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