"Automating Workflows and Project Management with Cursor" matching MCP servers:

Enables reading books from Project Gutenberg via MCP, with tools to search books, fetch metadata and full text, and retrieve passages by fixed-size keys.

Enables AI assistants to manage tasks, projects, and dependencies through MCP protocol with embedded Web UI, multi-workspace support, and Turkish language capabilities for productivity tracking.

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access docs — all from Cursor, Claude Desktop, or Windsurf. 24 tools covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications.

Coordination layer for AI coding agents working on the same codebase. Adds file locks, shared project memory, and cross-machine file sync so Claude Code, Cursor, Windsurf, and other MCP agents stop overwriting each other.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

Connect your Umami Analytics to any MCP client to derive insights from natural language.

Connects AI tools to GitHub and local git repositories, enabling natural language management of issues, PRs, code analysis, and workflows.

Enables AI agents and workflows to safely explore and query data in ephemeral sandboxed databases via MCP, with guardrails and snapshot capabilities.

MCP Guard Server - Budget control, approval workflows and audit logging for AI agents (Claude Code, Cursor, ChatGPT)

🤖 AI-powered Kubernetes management with 37+ tools via natural language. Transform complex Kubectl commands into simple conversations. Perfect for DevOps teams using Cursor AI. Built with Go.

Enables running ephemeral Kubernetes Jobs/pods with caller-chosen images and commands, returning results and artifacts while automating cleanup. Supports synchronous and background execution, repository cloning, and strict security controls.

Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.

Provides 23 bounded MCP tools for AI agents to perform technical SEO audits, including crawl setup, page analysis, issue detection, and report exports, all while keeping data local.

Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

- Upload videos to YouTube from MCP - Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support

Deterministic, schema-driven Go Fiber project scaffolder with an embedded MCP server.