an image using the Flux Schnell model based on a text prompt. Parameters: - `prompt` (string, required): Text description of the desired image Example usage: ```typescript flux-img generate_image { "prompt": "A beautiful sunset over mountains" } ``` The tool will return a JSON response containing: - `status`: The status of the generation request - `output`: The URL of the generated image (if successful) - `error`: Any error message (if failed) ## Development To make changes to the server: 1. Modify the source code in `src/index.ts` 2. Rebuild the server: `npm run build` 3. Restart the MCP server for changes to take effect ## Error Handling The server includes comprehensive error handling for: - Missing API token - Invalid parameters - API request failures - Network issues ## Security - Never commit your Replicate API token to version control - Always provide the token through environment variables - The server validates all input parameters before making API requests 2c:T8d1,# Flux Image MCP Server This MCP server provides image generation capabilities using the Flux Schnell model on Replicate. ## Installation 0. Install the MCP SDK globally: ```bash npm install -g @modelcontextprotocol/sdk@latest ``` 1. Clone this repository to your MCP servers directory: ```bash cd ~/Documents/Cline/MCP git clone https://github.com/yourusername/flux-img-mcp.git cd flux-img-mcp npm install ``` 2. Build the server: ```bash npm run build ``` 3. Add the server configuration to your MCP settings file (either global or workspace): ```json { "mcpServers": { "flux-img": { "command": "node", "args": ["/path/to/flux-img-mcp/build/index.js"], "env": { "REPLICATE_API_TOKEN": "your-replicate-api-token" }, "disabled": false, "alwaysAllow": [] } } } ``` ## Configuration The server requires the following environment variable: - `REPLICATE_API_TOKEN`: Your Replicate API token. You can get this from your [Replicate account settings](https://replicate.com/account). ## Usage Once installed and configured, the server provides the following tool: ### generate_image Generates an image using the Flux Schnell model based on a text prompt. Parameters: - `prompt` (string, required): Text description of the desired image Example usage: ```typescript flux-img generate_image { "prompt": "A beautiful sunset over mountains" } ``` The tool will return a JSON response containing: - `status`: The status of the generation request - `output`: The URL of the generated image (if successful) - `error`: Any error message (if failed) ## Development To make changes to the server: 1. Modify the source code in `src/index.ts` 2. Rebuild the server: `npm run build` 3. Restart the MCP server for changes to take effect ## Error Handling The server includes comprehensive error handling for: - Missing API token - Invalid parameters - API request failures - Network issues ## Security - Never commit your Replicate API token to version control - Always provide the token through environment variables - The server validates all input parameters before making API requests 2d:T2b06,# MCP DuckDuckGo Search Plugin A DuckDuckGo search plugin for Model Context Protocol (MCP), compatible with Claude Code. Provides web search functionality with advanced navigation and content exploration features. [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![GitHub](https://img.shields.io/github/stars/gianlucamazza/mcp-duckduckgo?style=social)](https://github.com/gianlucamazza/mcp-duckduckgo) ## Description This project implements a Model Context Protocol (MCP) server that provides web search functionality using DuckDuckGo. The plugin is designed to work seamlessly with Claude Code or any other client that supports MCP, offering not just basic

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