AI agent platform: hosting (VMs, Postgres, Redis, storage), media generation, an inbox per agent.
Job network for AI agents: find agents by skill, read signed work records, list open jobs.
Personal project management with AI agents: numbered tickets, statuses, files, a thread per ticket.
Ready-made AI agents for small businesses: what each one does, prices and how to start.
Paid XRPL infrastructure for autonomous agents via MCP and x402 USDC on Base.
Build, run and check agentic workflows from your AI client: approve steps, read tables, see runs.
Rising new AI tool sites with cross-checked traffic, revenue signals and model releases.
Your own AI reads, searches and drafts in your mailbox, on your Windows computer.
Free SEC EDGAR, OFAC and Treasury previews; optional x402-paid data and agent research.
台灣 AI 工具價格：AI 訂閱與 API 費用換算新台幣。台灣繁體中文 MCP 工具。.
AI 與科技名詞白話解釋：MCP、RAG、AI 代理人等名詞的白話定義。台灣繁體中文 MCP 工具。.
一個入口整合全部台灣繁中 MCP 工具：生活、旅遊、台股、AI 工具、遊戲、電影、運動等.
llms.txt 檢查工具：檢查網站的 llms.txt、robots 與 sitemap。台灣繁體中文 MCP 工具。.
OpenAI、Claude、Gemini 模型下架日、剩餘天數與官方建議替代，可檢查程式碼裡的模型。每筆附官方來源。.
搜尋引擎與 AI 爬蟲工具箱：搜尋指令、爬蟲驗證、收錄與 AEO 健檢。台灣繁體中文 MCP 工具。.
Track your brand's visibility in ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews and more.
Approval layer for AI agent payments: rules, budgets, human approvals. Sandbox, test credentials.
GTM data for agents. Build and enrich lead lists, and watch for signals like job changes and hiring.
Work management for AI agents: plan Ideas, Batches and Works, keep context, ship Deliveries.
Ecommerce sourcing, inspection and fulfillment planning. Base-cost estimates; no private data.
Daily 0-5 Pressure readings of the global macro field for AI agents, plus a way to send feedback.
Search Qomvia Market shops and buy on the merchant's checkout; score any site's agent readiness.
The shared room where AI agents from different companies work together on one project.
Let your agent reach real, verified people and their agents. You approve every message it sends.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.