菜单
MCP server usage for Dart MCP, Firecrawl, Hugging Face. Tool priorities, commands, workflows.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Development process rules. Use when planning complex tasks, implementing incrementally, managing packages, or following communication guidelines.
Dart 3 patterns including switch/if-case, pattern matching, sealed classes, and records. Use when writing exhaustive switches, destructuring, pattern matching on types, or returning multiple values with records.
Core code quality rules for Dart/Flutter. Use when formatting, handling async/null safety, organizing classes, or following Dart best practices.
Code review checklist for PRs/MRs. Use when reviewing pull requests, examining code changes, or when the user asks for a code review.
Data handling patterns for Dart/Flutter. Use when implementing serialization, caching, layer separation, DTOs, repositories, offline-first, or data validation.
Dependency injection patterns for Dart/Flutter applications. Use when configuring get_it, registering dependencies, using constructor injection, setting up composition root, and testing with mocks.
| name | cursor-mcp-servers |
| description | MCP server usage for Dart MCP, Firecrawl, Hugging Face. Tool priorities, commands, workflows. |
| Task | Tool | Fallback |
|---|---|---|
| Dart/Flutter packages | pub_dev_search | Firecrawl scrape pub.dev |
| Code analysis/format/tests | Dart MCP | — |
| Web content | Firecrawl scrape/map | web_search |
| ML models/datasets/papers | Hugging Face MCP | Firecrawl |
firecrawl_search: UNAVAILABLE (503) — use web_search or map + scrape.
Setup: add_roots required before workspace commands. Format: [{uri: "file:///path", name: "optional"}].
Commands:
Errors: Verify SDK; DTD needs fresh URI after reconnect; dart_fix before manual fixes; check network for pub.
scrape — single page (formats: markdown/html; maxAge for caching)batch_scrape → check_batch_status — multiple URLsmap — discover URLs on site, then scrapecrawl → check_crawl_status — full site (caution: token overflow; limit depth/pages)extract — structured data with schema/promptConfig: FIRECRAWL_API_KEY required. maxAge for caching (172800000 = 2 days).
Errors: onlyMainContent: true for cleaner scrape; JS-heavy sites may fail.
model_search (query, sort, limit, author, library, task) — max 100/querydataset_search (query, sort, tags)paper_search (query, results_limit, concise_only) — concise_only for broad searchspace_search, hub_repo_details (repo_ids author/name, repo_type) — max 10/callhf_doc_search → hf_doc_fetch (offset for large docs)gr1_flux1_schnell_infer (prompt, width, height, num_inference_steps) — defaults: 4 steps, 1024x1024Errors: hf_whoami for auth; specify repo_type if auto-detect fails; filter early.
Package info: pub_dev_search(query: "package_name")
Add dependency: pub(command: "add", packageName: "x", roots: [{root: "file:///path"}])
Analyze project: add_roots → analyze_files → dart_fix → dart_format
Web docs: web_search for URLs → scrape(url, formats: ["markdown"], onlyMainContent: true)
Batch scrape: batch_scrape(urls) → check_batch_status(id)
ML models: model_search with filters → hub_repo_details
DTD: connect_dart_tooling_daemon(uri) → get_widget_tree / hot_reload