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Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.

Project Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.

A TypeScript-based REST API that integrates project and task management with MCP (Model Context Protocol), allowing users to manage projects and tasks through natural language interactions.

SWI-Prolog execution for LLMs with CLP(FD) and recursion — boosts logic/constraint accuracy from 73% to 90% on a 30-problem benchmark.

Prometeo MCP

A MCP Server for Prometeo API

Query Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.

An enterprise-grade toolset for AI prompt engineering that enables users to generate optimized prompts for over 140 platforms and analyze prompt quality across 16 dimensions. It also integrates with PromptDrive to manage and browse personal libraries of saved prompts directly within AI clients.

An MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.

An MCP server that automatically enhances user prompts by applying advanced engineering techniques like chain-of-thought and few-shot reasoning based on identified intent. It optimizes technique selection through local learning and integrates directly into Claude sessions to improve output quality without additional API costs.

Generate deployment-ready AI agent system prompts for professionals in one click. 251 curated archetypes across 41 industries — from FX risk management to clinical documentation to OSINT intelligence.

Optimizes 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.

An AI server that provides intelligent prompt optimization capabilities, enhancing prompts for clarity, specificity, structure, and other attributes to improve AI interactions.

A lightweight, file-based server for managing and serving personal prompt templates with variable substitution support via the Model Context Protocol. It allows users to store, update, and organize prompts in a local directory through integrated MCP tools and CLI assistants.

Automatically generates and manages a prompts system for software projects, enabling persistent context for AI coding assistants through project scanning, requirement clarification, and module tracking.

An MCP server that provides 'Reasoning as a Service' by analyzing tasks to select and generate meta-prompts from 40 distinct reasoning frameworks. It enables AI agents to optimize their execution strategy based on task complexity and category, featuring tools for strategy recommendation and performance tracking.

Enables 70-90% LLM API cost reduction by compressing conversation history via local Gemma 4 models or heuristics, featuring token counting, model routing, and pinned facts for preserving critical context.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

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.