Серверы, которые подключаются к Cursor по ссылке или через конфиг. На карточке каждого коннектора — адрес сервера и пошаговая инструкция для Cursor.
This was a fun project to explore what an AI would do with the ability to give itself prompts, ignore user requests, and wake itself up at a later time.
A comprehensive async Python library for TickTick with MCP support.
A simple MCP integration that allows Claude to read and manage a personal Notion todo list
A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list.
A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard.
A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira.
Long-term, cross-project memory for AI coding agents.
Roblox Studio MCP server & plugin for Claude Code, Cursor, Codex, and Gemini.
This is an implementation project of a JVM-based MCP (Model Context Protocol) server.
MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation.
Put an end to code hallucinations!
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency.
A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow.
Node.js/TypeScript MCP server for Atlassian Jira.
This project is a Model Context Protocol (MCP) server for interacting with the VRChat API.
Send system notification when Agent task is done.
This Model Context Protocol (MCP) server provides a bridge between LLMs and Google Tasks, allowing you to manage your task lists and tasks directly through…
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP).
Supports GPT Image 2, Seedance & ComfyUI, with a 1,400+ prompt library, carefully crafted hooks and a multi-task orchestration system
Split a task into plans with disjoint file boundaries; scaffold a git worktree per plan.
Resolves Tailwind CSS design tokens and validates utility classes against the local project config.
MCP server for Jira and Confluence — sprints, agile boards, attachments, versions, calendars.
Zephyr Scale on self-hosted Jira Server/DC: test cases, cycles, executions, plans and attachments
Persistent local memory for AI coding agents — Claude Code, Codex CLI, Cursor, any MCP client.
Airflow MCP — list DAGs/runs/task instances, tail logs, trigger and clear (write-gated)
Persistent project memory for LLMs via SQLite.
Find public vendor trust centers, browse listed frameworks, and map project dependencies.
Task-to-tool discovery over the merged x402 Bazaar + MCP Registry catalog
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