Productivity & Workflow Servidores MCP

Medusa Documentation

Integrates comprehensive Medusa.js v2 documentation into AI assistants, offering smart search and real-time assistance for enhanced development workflows.

PromptGen

Transform simple questions into comprehensive, context-aware prompts by leveraging advanced prompt engineering techniques and local code context.

Claude Code Conversation Search

Enable natural language search across all Claude Code conversations to instantly find and resume past discussions.

Paper Find

Searches and downloads academic papers from multiple platforms, designed for integration with large language model tools.

Akirapapa Notion

Enables interaction with Notion workspaces by providing a server for the Notion API.

Tempo Filler

Enables AI assistants to interact with JIRA's Tempo time tracking system.

HiveFlow

Connects AI assistants like Claude and Cursor directly to your HiveFlow automation platform.

McPhy

Transforms existing REST APIs into conversational AI interfaces without requiring any code changes to the backend.

Toolhouse

Provides access to tools from the Toolhouse platform via a Model Context Protocol (MCP) server.

Delphi Build

Enables AI coding agents to compile Delphi projects programmatically, handling complex build configurations automatically.

Hellō Admin

Create and manage Hellō applications directly from your AI assistant with comprehensive contextual awareness.

XC

Wraps Xcode CLI tools, summarizing verbose outputs to reduce LLM token usage, thereby accelerating development workflows and boosting reliability.

Taiga

Integrates Large Language Models (LLMs) with the Taiga project management platform via the Model Context Protocol for AI-powered automation.

AgentCortex

Provides an AI memory system offering project-isolated persistent memory banks for coding assistants.

Claude Journal

Provides a lightweight journal and memory system for Claude Code, enabling context recovery and proactive work capture.

Emergency Medicare Planner

Locates and evaluates medical facilities in emergency situations using Google Maps integration and sequential thinking.

Sequential Thinking

Facilitates dynamic and reflective problem-solving through a structured, step-by-step thinking process.

Redmine

Enables direct interaction between AI models and Redmine project management systems via the Model Context Protocol.

Structured Data Tools

Empower AI agents to safely read, modify, and validate JSON, YAML, and TOML files with a token-efficient and schema-aware interface.

Enhanced Dev Env

Provides a pre-configured development environment with a focus on Python, CLI tools, and containerization.