A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management.
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A flexible, template-based prompt system server for Claude models, enabling standardized interactions and complex reasoning workflows through a TypeScript/Node.js MCP server with API support. Highly relevant as an MCP server for prompt management.
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.
MCP server that provides tools for interacting with Anthropic's prompt engineering APIs, allowing users to generate, improve, and templatize prompts.
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.
An MCP server that enables LLMs to use a calculator for precise numerical calculations through the MCP protocol.
A specialized MCP server providing LLM enhancement prompts and jailbreaks with dynamic schema adaptation, designed to augment AI capabilities via the MCP protocol.
Ai Prompts Mcp is an open-source implementation of the Model Context Protocol (MCP) for managing and serving AI prompts. It is built with TypeScript and organized as a monorepo using pnpm workspaces, showcasing MCP server capabilities for AI prompt management.
ai-integration-mcp-servers
mcp, prompt-management, typescript, ai-integration, open-source