sakura-mcp is a Scala-based MCP Framework for building effective agents, featuring comprehensive server and client implementation.
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A tool for building MCP servers tailored for AI agents such as CrewAI and LangGraph. It streamlines the process of deploying and connecting MCP servers to platforms like Cursor and Claude.
Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent conversations for complex problem-solving tasks via an MCP server.
Facilitates structured product development via specialized AI roles using the Model Context Protocol, converting requirements into actionable tasks. Highlights workflow automation with MCP servers.
A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management.
MCP server that provides tools for interacting with Anthropic's prompt engineering APIs, allowing users to generate, improve, and templatize prompts.
Category: AI Integration MCP Servers
Tags: scala, agent-framework, ai-integration, framework
sakura-mcp is a Scala-based MCP (Model Context Protocol) framework designed for building effective agents. It provides both server and client implementations and is based on the modelcontextprotocol.io standard.