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Raster

Browse, search, upload, tag, transfer, and delete images in your Raster libraries over MCP.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "appraster-raster": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "appraster-raster": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "appraster-raster": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The app.raster/raster server is a search tool that enables developers to manage images in their Raster libraries remotely over the Model Context Protocol. It allows for various operations such as browsing, searching, uploading, tagging, transferring, and deleting images. Developers would use this tool when they need to interact with their Raster image libraries from a remote location, leveraging the capabilities of the MCP server to perform these tasks.

Browse, search, upload, tag, transfer, and delete images in your Raster libraries over MCP.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The Raster server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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[![Skills Playground](https://skillsplayground.com/badges/mcp/appraster-raster.svg)](https://skillsplayground.com/mcps/appraster-raster/)
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