# AI service

An MCP server implementation based on the MiniMax Music API for AI - driven music generation, supporting seamless integration with Claude Desktop.

Leonardo MCP Server is a model context protocol server supporting HTTP and stdio modes, used to interact with Leonardo AI and support functions such as creating image generation tasks and viewing model status.

The MCP application is a service that combines RAG and web search tools, using OpenAI embedding vector storage, PostgreSQL as the database, and PGVector as the vector storage, supporting knowledge retrieval and document addition functions.

An HTTP-based image generation server that generates images based on text descriptions by calling Replicate's Flux Schnell model.

MCP Memory is a memory storage service built on Cloudflare Workers, providing cross - conversation memory functions for MCP clients and using vector search technology to achieve semantic - related memory retrieval.

Spring AI MCP service project, integrating AI capabilities using the Spring Boot framework

The Flux Image MCP Server is an image generation service based on the Flux Schnell model. It provides an API interface through the Replicate platform and supports image generation through text descriptions.

A demonstration project of a server and client based on the MCP protocol, used to demonstrate document understanding ability, TypeScript proficiency, and exploration of the MCP protocol

A minimalist image generation template based on Cloudflare Worker, using the workers-mcp package and Workers AI technology, supporting local development and rapid deployment.

Claude desktop client project for MCP service

MCP server project based on Llama3 and Xterm.js

A blockchain - based AI MCP server project that supports installing dependencies and running services through the uv tool and can be integrated into the Claude desktop application.

Flux ImageGen MCP Server is a dedicated server based on the Model Context Protocol (MCP), focusing on providing image generation and processing functions through Pollinations AI. It supports generating image URLs from text prompts, directly generating images, and managing multiple image generation models.

An MCP server implemented for the OpenAI API, providing a standardized interface to connect Augment with OpenAI language models, supporting functions such as chat completion, model listing, and embedding generation.

This project is an MCP server based on the Scenario.com platform, providing text - to - image generation and image background removal functions, including a complete development environment configuration, sample code, and test scripts.

NetMind ParsePro is a high - quality, robust, and cost - effective PDF parsing AI service that can convert PDF files to JSON or Markdown format and supports seamless integration with AI agents.

The MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

An image - generating MCP server based on the Together AI API

File - to - Markdown service based on Cloudflare AI