Foodish

v0.1.0Search & Data Extractionstable

Random food images by category (pizza, burger, dosa, etc.) via Foodish. Keyless.

io-github-pipeworx-io-foodishmcpai-integration
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What is Foodish?

Foodish is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to random food images by category (pizza, burger, dosa, etc.) via foodish. keyless.

Random food images by category (pizza, burger, dosa, etc.) via Foodish. Keyless.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Random food images by category (pizza, burger, dosa, etc.) v

Use Cases

Get random food images
Browse culinary content by category
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv0.1.0
UpdatedMay 19, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx io-github-pipeworx-io-foodish

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Foodish

What is Foodish?

Foodish is a Model Context Protocol (MCP) server that random food images by category (pizza, burger, dosa, etc.) via foodish. keyless. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Foodish?

Follow the installation instructions on the Foodish GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Foodish?

Foodish works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Foodish free to use?

Yes, Foodish is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-pipeworx-io-foodish": { "command": "npx", "args": ["-y", "io-github-pipeworx-io-foodish"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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