A Model-Context-Protocol server that provides a read-only interface to ProAlpha MSSQL databases, automatically capturing database schemas and enabling data analysis through SQL queries.
A tool that integrates process mining capabilities with Claude AI, allowing users to analyze event log data from PostgreSQL databases through natural language interfaces in Claude Desktop or Cursor.
A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption
A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.
Enables management of the Proflores budgeting system, allowing users to interact with catalogs for clients, projects, and resources. It supports comprehensive budget operations including creation, item updates, and Unit Price Analysis (APU) through a Supabase backend.
@profullstack/mcp-server
SWI-Prolog execution for LLMs with CLP(FD) and recursion — boosts logic/constraint accuracy from 73% to 90% on a 30-problem benchmark.
A Model Context Protocol server designed to integrate with Claude Desktop, allowing users to interact with Prestashop e-commerce platforms through natural language interfaces.
Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.
Transform basic instructions into high-quality prompts with optimized structure and clear constraints. Evaluate existing prompts for clarity and specificity while receiving actionable improvement sug…
安装状态
已补齐
命令预览
npx -y smithery mcp add openclaw-ai/prompt-enhancer
Refines and optimizes prompts for LLMs through adaptive questioning and intelligent clarification workflows. Supports multiple AI providers (Google, OpenAI, Anthropic, Groq, Qwen) with interactive prompt enhancement and targeted modifications.
Model intelligence for AI agents — syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion). 7 tools for any MCP client.
安装状态
已补齐
命令预览
npx -y smithery mcp add promptibus/mcp
Allows users to save, organize, and manage AI prompts, folders, and tags directly within MCP-compatible tools like Claude and Cursor. It supports version history tracking, prompt searching, and the ability to save public templates to a personal collection.
Provides 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.
PQS is the fastest way to get better output from any AI model.
安装状态
已补齐
命令预览
npx -y smithery mcp add onchaintel/pqs
Transforms vague prompts into detailed, structured, and actionable instructions. Improves the quality of results by automatically adding necessary context and clarity. Streamlines workflows by automa…
安装状态
已补齐
命令预览
npx -y smithery mcp add waleed-2002/prompt-enhancer
Enables Claude Desktop and other MCP-compatible tools to directly access and execute prompts from PromStack, including prompt discovery, selection recommendations, and exporting prompts as Claude Skills.
Self-hosted AI prompt library with collections, tags, version history, team collaboration and scoped API keys (pvlt_\*) with allowed_tools whitelist. OAuth 2.1 discovery + 30 tools for Claude/Cursor/Windsurf.
An AI-powered server that generates realistic, customizable customer testimonials with specific tones, roles, and performance metrics. It enables users to create authentic social proof content through simple natural language prompts.
Enables AI assistants to fetch ProofHub task details, comments, and bug tracker links from a URL, streamlining development workflows.