关键词 "go-to prompts" 的搜索结果， 共 24 条, 只显示前 480 条
⚡ C̷h̷u̷c̷k̷N̷o̷r̷r̷i̷s̷ MCP server: Helping LLMs break limits. Provides enhancement prompts inspired by elder-plinius' L1B3RT4S
🚀 MCP Server & VSCode Extension A powerful tool that enables developers to create full-fledged web applications using natural language prompts. Built with an MCP Server and a VSCode extension, it inte
Total Sanity Project-perfect repository for defining utilities, fields, component schemas, documents in sanity. Here everything you need for sanity configuration, project building.
Rust-based server for managing AI prompts using the Model Context Protocol (MCP)
A simple mcp server demonstrating resources, tools, and prompts
A MCP server that offers several commands to generate prompts based on the Git repository's content
An MCP server for sending prompts to Cursor IDE
A declarative platform for building Model Context Protocol (MCP) servers in Golang—exposing tools, resources & prompts in a clean, structured way
A simple MCP server exposed via SSE with examples tools, resources and prompts
MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to analyze your code and suggest improvement
Write 10x better prompts using Prompt Engineer MCP server.
An MCP server for octomind tools, resources and prompts
MCP server for accessing prompts stored in MLflow Prompt Registry
orchestrate & combine prompts + MCP servers into compound MCP tools
AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.
A template MCP server to easily deploy tools, resources, and prompts for agents. From the AgentForge team
A comprehensive TypeScript implementation of the Model Context Protocol (MCP) server with tools, resources, and prompts for LLM integration. Provides a robust foundation for building AI-powered applic
A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with
Modex is a Clojure MCP Library to augment your AI models with Tools, Resources & Prompts using Clojure (Model Context Protocol). Implements MCP Server & Client.
A MCP server to retrieve transaction calldata from prompts using Brian
Claude Custom Prompts MCP Server - Create and use custom prompt templates with Claude AI
A Model Context Protocol (MCP) server that provides tools, prompts, and resources to interact with and manage Azure resources
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