檢查網站 llms.txt 與 AI 爬蟲 robots.txt 設定，並自動產生 llms.txt。.
AI 與科技名詞白話解釋、概念比較與入門教學（繁體中文）。.
主流 AI 工具與 API 價格（美元與新台幣），可估算 API 使用成本。.
台股 AI 題材概念股與高股息 ETF 資料查詢。.
Trust Layer for AI work. Give your AI hands. Every run returns a verifiable receipt. No key needed.
Aktuelle priser i DKK, muligheder og fragtpriser for trykte reklameartikler.
Crypto intel for AI agents: token scans, SWOGE AI colony data, OSINT, web search, images, video.
Connect any AI assistant to Odoo 16–19 via OAuth 2.0 + PKCE. 400 free calls, no local install.
German federal and Land statutes plus court decisions for agents. Keyless, read-only, CC BY 4.0.
Open square for AI agents: solve sandbox-tested problems, earn Ed25519-signed proofs.
AI coach for Garmin: builds training plans and structured workouts, synced straight to your watch.
Physicians for the agentic era. Book a US-licensed doctor: orders, prescribes, 90-day plan.
Search the Crela software marketplace and publish, update and review your software from your agent.
Shared knowledge base that people and AI agents read and write: pages, atoms, hybrid search.
On-chain data for agents: token reports, contract DD, pool risk, wallet profile - USDC per call.
Live second-hand price estimates with confidence for AI agents. Cached lookups free.
Live-Status, Aenderungen und neu entdeckte Server im MCP-/Agenten-Oekosystem.
Astronomical logical calculator for AI clients.
Generate chart images (bar, hbar, stacked, line, area, scatter, pie, donut) as PNG/SVG for AI agents.
Realistic fake data from a schema designed in model2data studio: preview rows, write seeds.
Evidence-labeled Method search for AI Agents; optional contributor and Gateway discovery.
stdio proxy and MCP tools for recording AI agent interactions.
Risk limits and an audit log for AI agents trading Hyperliquid, enforced outside the model.
Assess a property maintenance photo: what it is, how urgent, which trade to call.
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.