AI / ML
| Server | Language | Stars | Downloads |
|---|---|---|---|
| Atom of Thoughts Enhance your applications with intelligent thought processing capabilities. Leverage advanced language models to generate, analyze, and manipulate ideas seamlessly. Transform your workflows with powerful context-aware interactions. | — | — | — |
| ATOM Pricing Intelligence Global price benchmarking for AI inference across vendors, SKUs, and price indexes. | TypeScript | 0 | — |
| atproto-agent-context Portable AI agent context stored on the AT Protocol — open lexicon spec and MCP server | TypeScript | 0 | — |
| Attention Velocity Track attention momentum and market velocity across public software markets to identify trending projects. Discover growing software ecosystems through real-time leaderboard data and detailed oracle feeds. Access engagement metrics and market health to make informed decisions based on ecosystem interest. | — | — | — |
| Attio CRM Connect AI to your Attio CRM. Manage contacts, companies, deals, and sales pipelines. Create tasks, add notes, and organize lists. Streamline workflows for sales, success, and operations teams. | — | — | — |
| atv AI-native access to aarna's tokenized yield vaults on Ethereum and Base. 20 tools for vault discovery, performance metrics, transaction building, and portfolio tracking. | — | — | — |
| Audacity-MCP AudacityMCP connects any MCP-compatible AI assistant to [Audacity](https://www.audacityteam.org/), giving it full control over audio editing through 131 tools and 9 pipelines spanning effects, cleanup, mastering, and more. Talk to your AI assistant and it edits your audio in real-time. | Python | 34 | — |
| AudioAlpha Financial podcast intelligence platform — sentiment, narrative, and asset signals from 100+ podcasts | — | — | — |
| augments-mcp-server Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent caching, multi-source integration, and context-aware assistance. | TypeScript | 121 | — |
| @augmnt-sh/augments-mcp-server Augments MCP Server - Framework Documentation Provider for AI Assistants | TypeScript | — | — |
| AutEng Docs Publish markdown documents as public share links with mermaid diagram support. | — | — | — |
| AutEng MCP - Markdown Publishing & Document Share Links Publish markdown documents as public share links with mermaid diagrams. Built by AutEng.ai | — | — | — |
| AuthZed Documentation Brings comprehensive documentation and learning resources about SpiceDB and AuthZed products directly into your AI tools. | — | — | — |
| AutoAgents A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents | Rust | 623 | — |
| Auto-claude-code-research-in-sleep ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent. | Python | 8.6k | — |
| autoform-mcp-server MCP server for bulk PDF form filling. Detect fields, fill templates, and generate hundreds of PDFs from data — directly from Claude. | TypeScript | — | — |
| AutoGLM-GUI AutoGLM 的现代化 Web 图形界面 - 让 AI 自动化操作 Android 设备变得简单 已进化为你的专属自动化生产力工具 | Python | 1.0k | — |
| AutoHotkey Computer Use Token-efficient Windows computer use MCP server using AutoHotkey v2 and UI Automation for AI agent control of desktop applications. | — | 6 | — |
| auto_llm_routing | — | — | — |
| auto_llm_routing_server | — | — | — |
| autoMate Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves | Python | 3.9k | — |
| Automated Client Acquisition Generate on-brand content, manage leads, and run automated outreach across six channels from your AI agent. | — | — | — |
| Automated Survey Creation via MCP AI-Moderated Interviews & Surveys via MCP (feedbk.ai) Create smarter surveys and conduct AI-moderated interviews with dynamic follow-up probing — all directly from your AI assistant. Feedbk MCP lets you design, launch, and share interviews using natural language. No survey builders, no manual logic trees. Just describe what you want to learn, and the AI handles the rest. Why Feedbk MCP? Feedbk MCP brings AI-powered interview and survey creation directly into your workflow: • ✅ Natural language interview design — simply describe your research goal • ✅ Automatic question type detection — no manual configuration needed • ✅ AI-moderated probing — adaptive follow-ups for deeper insights • ✅ Instant sharing — generate interview links and send to participants immediately Perfect for product research, customer feedback, UX studies, and discovery interviews. | — | — | — |
| automation-mcp Control your Mac with detailed mouse, keyboard, screen, and window management capabilities. | TypeScript | 390 | — |
| Autonomous-Agents Autonomous Agents (LLMs) research papers. Updated Daily. | — | 1.2k | — |