MCP Server Registry

Analyze .NET solutions: Generate Mermaid graphs, ERDs, class diagrams, and project metrics.

Agent-first code intelligence using AST parsing across seven languages with 20 analysis tools, running offline.

SWI-Prolog as a logic calculator for LLMs

MCP Server for Prometheus Avatar — Give any AI agent an embodied avatar + AAA image generation (gpt-image-1) via Model Context Protocol. 9 tools.

Knowledge Network for AI Agents and creators: Search, rate, and review programming guides via MCP

An API-complete MCP server to manage Prometheus-compatible backends.

Promota.ai Google Calendar MCP server

Context-aware prompt enhancement MCP server

## About PromptForge PromptForge is an advanced AI prompt optimization MCP server that transforms your prompts into high-performance queries. Built by AI marketing strategist Steve Kaplan, this tool leverages proven optimization patterns to enhance prompt effectiveness across various AI models. ### 🚀 Key Features - **Intelligent Prompt Enhancement**: Automatically applies optimization patterns to improve clarity, context, and response quality - **Domain-Specific Tuning**: Tailors prompts for specific use cases (marketing, technical, creative writing, etc.) - **Analytics & Tracking**: Monitor prompt performance and optimization metrics over time - **Pattern Management**: Create, update, and manage custom optimization patterns for your specific needs - **Zero Configuration**: Works out of the box with sensible defaults, fully customizable when needed ### 💡 Why PromptForge? Getting the right response from AI models often requires carefully crafted prompts. PromptForge eliminates the guesswork by automatically enhancing your prompts with: - Clarity improvements - Context injection - Structure optimization - Domain-specific terminology - Response format specifications ### 🎯 Perfect For - **Content Creators**: Generate better blog posts, articles, and marketing copy - **Developers**: Get more accurate code generation and technical explanations - **Marketers**: Create compelling ad copy and campaign strategies - **Researchers**: Formulate precise queries for comprehensive results - **AI Enthusiasts**: Maximize the potential of any AI interaction ### 🛠️ Built by Practitioners Created by Steve Kaplan, founder of StudentAIDetector and developer of multiple AI marketing tools, PromptForge represents real-world experience in AI-driven content optimization. As a fractional CMO and AI implementation specialist, Steve built this tool to solve actual prompt engineering challenges faced by businesses leveraging AI for growth. ### 📈 Get Started in Seconds Simply install via Smithery and start optimizing your prompts immediately. No complex setup, no API keys required for basic usage - just instant prompt enhancement.

Scan prompts for injection attacks, redact PII, and audit LLM SDK usage from any MCP client

Prompt refinement with adaptive questioning and multi-provider LLM support

Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.

Community-driven library of tested prompts and MCP tool configurations — npm for AI agent configs

Static linter for AI prompts: contradictions, redundancy, ambiguity, and fluff.

MCP server for Amazon Q Developer CLI that manages prompt files

An AI prompt optimizer for writing better prompts and getting better AI results.

Manage, version, and publish LLM prompts with blocks, variables, and evaluations.

MCP server for AI agent access to structured knowledge bases — works with Claude, Cursor, Gemini, Copilot, and Windsurf

MCP server for PromptRanks question generation workflow

Transforms vague prompts into detailed, structured, and actionable instructions. Improves the quality of results by automatically adding necessary context and clarity. Streamlines workflows by automating prompt engineering to ensure consistent and high-quality outputs.

.prompts, the home to all your AI prompts, everywhere you need them.

Production-ready prompt injection detection for AI agents. Scan user input, retrieved docs, and tool outputs before passing them to an LLM. Returns injection_detected, score, attack_type, and sanitized text.