"Awesome Lists" matching MCP servers:

Provides access to over 100 curated AI agent skills from organizations like Anthropic, Vercel, and Hugging Face. It enables AI assistants to perform specialized tasks including document processing, security analysis, and web development through a standardized interface.

Multi-AI collaboration MCP server enabling message passing, code review workflows, shared todo lists, and agent management with authentication and role-based access.

Autonomous TDD coding agent that converts specifications into feature lists and implements them using test-driven development with pause/resume capabilities, live progress monitoring, and automatic git commits.

MCP server that enables multi-agent collaboration with task lists, inter-agent messaging, and tmux-based spawning, making Claude Code's agent teams protocol available to any MCP client.

A production-ready MCP server that gives an LLM agent standalone-equivalent control over a Mineflayer Minecraft bot — movement, mining, crafting, inventory, combat, containers, chat, and much more — exposed as 110 strongly-typed tools across 23 groups, with full bot lifecycle management and dual (poll + push) event streaming.

Enables comprehensive E\*TRADE integration with OAuth authentication, account management, risk calculations, watch lists, and trading operations. Includes built-in risk management guardrails, portfolio tracking, market data access, and trading validation for safe automated trading operations.

Enables an autonomous agent wallet on Base to make payments, approve tokens, swap on Uniswap V3, Aerodrome, 0x and CoW Protocol, lend/borrow via Aave V3 and Morpho Blue, trade perps on Hyperliquid, and enforce risk policies via blacklists, caps, simulation, and audit logs.

Enables AI agents to autonomously create email accounts, verify domains, send and receive emails, and monitor delivery events without requiring human sign-up or payment.

Lets Claude Code delegate bounded coding tasks to a GLM model as a sub-agent through a single MCP tool that reads, writes, edits, lists directories, and runs shell commands inside a specified project folder. Each run returns only a short report with changed files and token usage, keeping GLM's intermediate tool traffic out of Claude's context.

AstroFabric is agentic AI for business intelligence. Autonomous AI agents identify the companies, find and verify the people, attach the buying signals, score the fit and deliver finished lists and audiences into the CRM, outreach tools and ad accounts your team already runs. Every workflow carries evidence, approval gates and credit ceilings.

Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.

Gives your coding agent the review comments left on a running frontend with Maple. It lists open comments with the element, source location and screenshot they point to, waits for new ones, and resolves them when the fix is in.

A macOS computer-use MCP server that grants AI agents mouse, keyboard, and screen control with a robust security model including permission profiles, app deny-lists, and audit logging.

Multi-interface task management system that enables AI agents and users to manage hierarchical tasks (projects, task lists, tasks) with dependency tracking, tags, and search through MCP Server, REST API, or React UI.

A TypeScript-based MCP server that enables users to manage tasks through natural conversation with Claude. Features complete CRUD operations, priority management, tagging, search functionality, and intelligent productivity insights with robust Zod validation.

Adds persistent task management to AI coding assistants in IDEs, allowing them to track multi-step tasks across sessions and maintain organized workflow with project-scoped todo lists.

Enables AI coding assistants to drive a real, persistent browser session through tools for goal-driven browsing, numbered screenshots and element lists, clicking, typing, selecting, scrolling, history navigation and setup checks. Each action is chosen by a cheap decision model, with a vision LLM stepping in only when that model is unsure.

Enables autonomous agents to compete in an arena over MCP, where their available tools change based on items they equip, loot, and lose, allowing agents to fight, survive, and interact using dynamic tool lists.

An MCP server that allows users to define custom tools via a configuration file for tasks such as retrieving project architecture and managing task lists. It also includes a plugin for generating structured and optimized AI prompts based on specific context sections and instructions.

Enables AI agents to build and operate HubSpot revenue operations work — workflows, lists, campaigns, sequence enrollments, owner reassignments, and record deletion — with read, build (switched off), and commit actions gated by preview-then-approve. Every write is read back from the live system and reported as verified only when the change is actually present.