MCP server
QuickBuild agent tools (x402)
dev.workers.quynguyenbac.quickbuild/agent-tools
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
LaunchCheck site reports, screenshots, audits, TTS, translate, Base data, LLM chat; x402 per call
Working at last checkAbout 5,758 tokens per request once connected19 tools
https://quickbuild.quynguyenbac.workers.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 19
- Token cost
- About 5,758 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http agent-tools https://quickbuild.quynguyenbac.workers.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.agent-tools] url = "https://quickbuild.quynguyenbac.workers.dev/mcp"
Gemini CLI
{"mcpServers":{"agent-tools":{"httpUrl":"https://quickbuild.quynguyenbac.workers.dev/mcp"}}}
Cursor
{"mcpServers":{"agent-tools":{"url":"https://quickbuild.quynguyenbac.workers.dev/mcp"}}}
VS Code
{"servers":{"agent-tools":{"type":"http","url":"https://quickbuild.quynguyenbac.workers.dev/mcp"}}}
Antigravity
agy mcp add agent-tools https://quickbuild.quynguyenbac.workers.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"agent-tools","server_url":"https://quickbuild.quynguyenbac.workers.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"agent-tools","server_url":"https://quickbuild.quynguyenbac.workers.dev/mcp"}
Tools
base_gas_price~194 tokens
[PAID $0.001 USDC per call via x402 on Base; errors are free] Live gas snapshot for Base mainnet (chain 8453) read from public Base RPC: latest block number/time/utilization, base fee, eth_gasPrice, eth_maxPriorityFeePerGas, the last 10 blocks of base fees, slow/standard/fast EIP-1559 fee suggestionbase_token_info~267 tokens
[PAID $0.002 USDC per call via x402 on Base; errors are free] Inspect a token or any address on Base mainnet: contract vs EOA (incl. EIP-7702 delegation), bytecode size, ERC-20 name/symbol/decimals/totalSupply (raw and formatted; bytes32 symbols handled), proxy implementation (EIP-1967, beacon, Zeppbase_tx_status~243 tokens
[PAID $0.002 USDC per call via x402 on Base; errors are free] Look up one transaction on Base mainnet by hash: status (success, failed or pending), block, timestamp, confirmations, from/to, value, method id, gas used, effective gas price, fee split into L2 execution and L1 data fee (ETH and USD), cobase_wallet_balances~321 tokens
[PAID $0.002 USDC per call via x402 on Base; errors are free] Balances of one address on Base mainnet in a single call: native ETH, the well-known tokens USDC, USDT, USDbC, DAI, WETH, cbETH, wstETH, AERO (non-zero only, or all with includeZero=true), plus up to 10 extra ERC-20 contracts you pass incrypto_price~433 tokens
[PAID $0.001 USDC per call via x402 on Base; errors are free] Live crypto prices for up to 25 coins per call: pass tickers in `symbols` (BTC,ETH,SOL,AERO,...; common tickers built in, others resolved by CoinGecko search to the largest coin with that ticker), CoinGecko `ids`, or one token `address` +free_site_check~121 tokens
[FREE, 10 calls/hour per IP] Quick check of one public website: homepage meta/OG/canonical, security headers, HTTPS, and up to 20 links tested for breakage. For the deeper 3-page audit with leaked-key scan use website_audit (paid).fx_rate~354 tokens
[PAID $0.002 USDC per call via x402 on Base; errors are free] Foreign-exchange rates from one base currency (`from`, default USD) to a list of currencies (`to`, comma-separated, or "all"; default 14 majors incl. EUR, GBP, JPY, CNY, INR, KRW, VND), with `amount` converted. Live mode uses Coinbase pubgenerate_image~232 tokens
[PAID $0.01 USDC per call via x402 on Base; errors are free] Generate an original 1024x1024 image from a text prompt with FLUX.1 [schnell] on Workers AI (about 2-5 s). Returns JSON with image_base64 + mimeType, or the raw image bytes with format=jpeg. Content policy: no sexual/nude, gore, hate, reallaunchcheck_full~217 tokens
[PAID $0.05 USDC per call via x402 on Base; errors are free] LaunchCheck full report for one public URL: status code, HTTPS/redirects, title/description, Open Graph/Twitter card, robots.txt/sitemap/noindex, plus up to 50 links checked for breakage, og:image load check, desktop 1280x800 and mobile 39llm_chat~413 tokens
[PAID $0.003 USDC per call via x402 on Base; errors are free] One-shot LLM completion on Cloudflare Workers AI with a minimal interface: give `prompt` (and optionally `system`, or OpenAI-style `messages`), get {text, model, finish_reason, usage}. Models: llama-3.1-8b (default), llama-3.2-3b, llama-3page_metadata~175 tokens
[PAID $0.005 USDC per call via x402 on Base; errors are free] Fetch one public web page and return structured metadata: title, meta description, canonical, lang, robots, Open Graph and Twitter card tags, favicon, RSS/Atom feeds, JSON-LD @types, and internal/external links (up to 100 each). Good forrerank_documents~390 tokens
[PAID $0.002 USDC per call via x402 on Base; errors are free] Cohere/Jina-style rerank: POST {query, documents: string[] | {text}[], top_n, return_documents} and get {results: [{index, relevance_score, document?}]} sorted by relevance. Models (Cloudflare Workers AI): bge-reranker-base (cross-encoderscreenshot_urlBrowses the web · ~488 tokens
[PAID $0.008 USDC per call via x402 on Base; errors are free] Render a public web page in a real headless Chrome (JavaScript executed, waits for network idle) and return a screenshot: viewport (default 1280x800) or full page (up to 8000 px tall), PNG or JPEG, optional dark mode and extra wait. JSONsummarize~468 tokens
[PAID $0.02 USDC per call via x402 on Base; errors are free] Fetch a public web page (or take raw text) and return a structured JSON brief made by Llama 3.3 70B: title, language, contentType, summary, keyPoints, named entities with types, topic tags, concrete facts (prices, dates, versions, limits)text_embeddings~465 tokens
[PAID $0.001 USDC per call via x402 on Base; errors are free] Drop-in OpenAI Embeddings endpoint: POST {input: string | string[], model, encoding_format: float|base64, dimensions} and get {object: "list", data: [{embedding, index}], model, usage}. Models (Cloudflare Workers AI): bge-m3 (1024-d, multtext_to_speech~264 tokens
[PAID $0.005 USDC per call via x402 on Base; errors are free] Turn text (up to 2000 chars) into spoken audio with MeloTTS on Cloudflare Workers AI, in English, Spanish, French, Chinese, Japanese or Korean. Returns JSON with audio_base64 + mimeType (audio/wav, 44.1 kHz mono), or the raw audio bytes wtranslate~362 tokens
[PAID $0.005 USDC per call via x402 on Base; errors are free] LLM translation (Meta Llama 4 Scout on Workers AI, M2M100 fallback). Give `text`, or a `url` whose main content is extracted as Markdown and translated in blocks, preserving Markdown formatting, URLs and code blocks. Source language auto-url_to_markdown~202 tokens
[PAID $0.005 USDC per call via x402 on Base; errors are free] Fetch one public web page and return its main content (article/main/body, scripts/nav/footer stripped) as clean Markdown with absolute links, plus title and length. Up to 2 MB HTML, 10 s timeout; optional maxChars (default 50000, max 2000website_audit~149 tokens
[PAID $0.05 USDC per call via x402 on Base; errors are free] Pre-launch website audit: up to 3 pages crawled, 30 links checked, meta/OG/canonical, security headers, HTTPS, 404 handling, sitemap, and leaked-secret patterns in client JS (masked). Read-only.
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