Gyazo MCP Server
A TypeScript - based Gyazo image integration MCP server that provides image search, retrieval, and upload functions, supporting access to image resources and metadata via URI.
rating : 2 points
downloads : 16
What is the Gyazo MCP Server?
The Gyazo MCP Server is a server built on TypeScript that provides access to Gyazo images through the Model Context Protocol (MCP). It allows AI assistants to easily search for, upload, and obtain images and their metadata.How to use the Gyazo MCP Server?
Simply install the server and set up the API token to start using it. You can search for images, upload new images, or integrate existing images into your workflow.Applicable scenarios
Suitable for scenarios that require quick access to a large amount of image data, such as content creation, data analysis, or project collaboration.Main features
Image searchSearch for images on Gyazo by keyword, title, application, or date range.
Fetch imagesDirectly obtain images and their detailed metadata by ID or URL.
Image uploadUpload images via Base64 encoding and add titles, descriptions, and other metadata.
Advantages and limitations
Advantages
Easy to integrate into existing systems.
Supports multiple image formats (e.g., JPEG, PNG).
Limitations
Requires a Gyazo account and API access token.
May be affected by network latency.
How to use
Install the Gyazo MCP Server
Install the server globally via NPM: `npm install -g @notainc/gyazo-mcp-server`.
Set environment variables
Set the `GYAZO_ACCESS_TOKEN` environment variable to your Gyazo API access token.
Start the server
Run the command to start the server: `gyazo-mcp-server`.
Usage examples
Search for cat picturesSearch for images related to 'cat'.
Upload a landscape photoUpload a landscape photo and add a description.
Frequently Asked Questions
How to obtain a Gyazo API access token?
Does it support images in multiple languages?
Is there a free version available?
Related resources
Official documentation
View detailed server documentation and tutorials.
Gyazo API
Understand how the Gyazo API works.
GitHub repository
Download the source code and contribute.
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