Productivity & Workflow Servidores MCP

Code Review Assistant

Automates preliminary code feedback, including syntax checking, code explanation, and improvement suggestions, via a multi-agent system.

Server Continue

Exposes customizable prompt templates, resources, and tools for use with continue.dev.

FastFS

Enables AI assistants like Claude to perform high-speed filesystem operations, manage Git repositories, and engage in interactive user prompts.

Developer

Manages project context persistently across coding sessions for developers.

Redmine

Integrates Redmine projects and issues with the Cline VS Code extension.

Gridly

Manages projects, grids, databases, and more through the Gridly API.

Git Prompts

Generates prompts based on a Git repository's content using a Model Context Protocol (MCP) server.

Quip

Fetches Quip document spreadsheet data and returns it in CSV format.

Paprika 3

Exposes Paprika 3 recipes as LLM-readable resources and allows LLMs to create or update recipes in the Paprika app.

OmniMind0

Aims to be a universal intelligence project capable of executing any task and automating processes across multiple domains.

Google Calendar

Integrates Large Language Models with Google Calendar for event management.

Automcp

Generates MCP server and client code automatically from YAML service definitions.

Jessica

Integrates ElevenLabs Text-to-Speech with Cursor via the Model Context Protocol (MCP).

GitLab Kanban

Manages GitLab Kanban board operations through the Model Context Protocol.

Asana

Generates a Multi-Agent Conversation Protocol (MCP) server specifically for the Asana API using an automated builder.

Trello Ts

Enables AI assistants to interact with Trello boards, lists, and cards using the Model Context Protocol.

N8N Workflow Summarizer

Summarizes n8n workflow JSON files into clear, concise markdown for improved understanding.

MCP ITSM Integration

Provides a unified interface for LLMs to interact with multiple IT Service Management (ITSM) systems.

Jira

Enables interaction with Jira instances using natural language commands through a Model Context Protocol (MCP) server.

Task Manager

Manages tasks and project plans through a terminal-based user interface and API.