A
licenseA
qualityD
maintenanceOptimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.
Last updated
1
4
4
MIT
60,649 servers. Last updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
io.github.KunaniGaming
io.github.lazymac2x
dev.workers.unpluggedfeed.up-mcp
co.ultraprompt
"Techniques for improving prompt effectiveness" matching MCP servers:
- Alicense-qualityDmaintenanceProvides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.Last updated12MIT
- Alicense-qualityDmaintenanceEnables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.Last updatedMIT
- AlicenseAqualityAmaintenanceLocal MCP server that uses a local Ollama model to rewrite rough prompt drafts into structured, optimized prompts for paid APIs, saving tokens and improving output quality.Last updated5182MIT
- AlicenseAqualityDmaintenanceAn MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.Last updated13MIT
- AlicenseAqualityAmaintenanceThe control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.Last updated2062Elastic 2.0
- AlicenseBqualityDmaintenanceAn MCP server that registers customizable prompt templates as tools for natural language interaction. It supports hot-reloading and easy extension via YAML or JSON files to automate tasks like code review, refactoring, and content summarization.Last updated231MIT
- FlicenseBqualityDmaintenanceA lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.Last updated6733
- AlicenseDqualityDmaintenanceA Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.Last updated6121MIT
- AlicenseDqualityDmaintenanceA server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.Last updated109246MIT
- Alicense-qualityDmaintenanceSmart AI workflow for Cursor teams with intelligent prompt routing, real-time cost optimization, and team analytics.Last updatedApache 2.0
- Alicense-qualityDmaintenanceEnables AI-assisted development by providing a library of 110+ curated prompts, workflows, and coding standards, with MCP tools for prompt retrieval, composition, and multi-step workflow chains.Last updated7MIT
- Alicense-qualityDmaintenanceThis MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.Last updated23MIT
- Alicense-qualityCmaintenanceA deterministic prompt optimization middleware for AI coding agents that preserves intent, compresses context, and detects drift, available as an MCP server with tools for optimize_prompt, classify_prompt, and more.Last updatedMIT
- Alicense-qualityDmaintenanceEnables AI models like Claude to manage local prompt files with CRUD operations, fuzzy search, categorization, templates, version control, and favorites.Last updated5MIT
- Alicense-qualityDmaintenanceRetrieval-grounded prompt refinement engine that repairs and polishes prompts via a single LLM call, exposing a refine_prompt tool for integration with MCP-compatible hosts.Last updated5GPL 3.0
- -license-qualityCmaintenanceEnables dynamic prompt management by automatically discovering and serving markdown prompt files with YAML frontmatter via the Model Context Protocol.Last updated1
- Flicense-qualityCmaintenanceA standalone MCP server that enforces clean prompt structure, strips model‑invented instructions, and detects capability hallucinations before they propagate through your system.Last updated
- Flicense-qualityDmaintenanceMCP server for professional prompt engineering and agentic scaffolding, with cloud and local optimization.Last updated2
- Flicense-qualityDmaintenanceProvides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.Last updated3