silkworm-mcp
A full-featured MCP server for building scrapers, with tools for page fetching, HTML parsing, CSS/XPath querying, and spider generation using silkworm-rs and scraper-rs.
README
silkworm-mcp
This is a full-featured MCP server for building scrapers with:
- silkworm-rs: async crawling, fetching, follow links, and spider execution
- scraper-rs: fast Rust-backed HTML parsing with CSS and XPath selectors
It is designed for LLM-assisted scraper development, so the server exposes both low-level page inspection tools and higher-level workflow helpers for validating selector plans and generating starter spider code.
An example: https://github.com/BitingSnakes/silkworm-example
Features
- Fetch pages through silkworm's regular HTTP client or CDP renderer.
- Query selectors directly against a CDP-rendered DOM snapshot.
- Analyze inline and linked CSS with
tinycss2, then optionally map selectors back onto HTML. - Extract structured records from live rendered pages before committing to a full crawl.
- Cache HTML in a local document store and reuse it via
document_handle. - Bound the document cache with max-document, max-bytes, and idle-TTL controls.
- Inspect pages with summaries, parsed DOM trees, prettified HTML, CSS/XPath queries, selector comparisons, and link extraction.
- Run ad hoc crawls from a structured
CrawlBlueprint. - Generate reusable silkworm spider templates from the same blueprint and statically validate them, including pattern-specific variants for list-only, list+detail, sitemap/XML, and CDP-heavy crawls.
- Expose MCP diagnostics plus HTTP
/healthzand/readyzroutes for production monitoring. - Publish MCP resources and prompts so clients can discover workflows, Silkworm idioms, and blueprint schemas.
Tools
store_html_documentlist_documentsdelete_documentclear_documentsserver_statusinspect_documentparse_html_documentparse_html_fragmentprettify_documentquery_selectoranalyze_css_selectorsfind_selectors_by_textcompare_selectorsextract_linkssilkworm_fetchsilkworm_fetch_cdpquery_selector_cdpextract_structured_data_cdprun_crawl_blueprintgenerate_spider_templatevalidate_spider_code
Run
Install dependencies:
uv sync
Run over stdio for a desktop MCP client:
uv run python mcp_server.py --transport stdio
Run over HTTP:
uv run python mcp_server.py --transport http --host 127.0.0.1 --port 8000
HTTP deployments also expose:
GET /healthz: process livenessGET /readyz: readiness, optionally including a CDP browser probe
The project also exposes a console entrypoint:
uv run silkworm-mcp --transport stdio
Docker
Build the image:
docker build -t silkworm-mcp .
Run the container over HTTP on port 8000:
docker run --rm -it -p 8000:8000 silkworm-mcp
The container entrypoint starts two processes by default:
- the MCP server over HTTP on
0.0.0.0:8000 - a bundled Lightpanda browser on
127.0.0.1:9222for CDP-backed tools such assilkworm_fetch_cdp,query_selector_cdp, andextract_structured_data_cdp
Useful container environment variables:
MCP_TRANSPORT(default:http)MCP_HOST(default:0.0.0.0)MCP_PORT(default:8000)MCP_PATHLIGHTPANDA_ENABLED(default:1)LIGHTPANDA_HOST(default:127.0.0.1)LIGHTPANDA_PORT(default:9222)LIGHTPANDA_ADVERTISE_HOST(default: unset, falls back toLIGHTPANDA_HOST)LIGHTPANDA_LOG_FORMAT(default:pretty)LIGHTPANDA_LOG_LEVEL(default:info)
When Lightpanda binds to 0.0.0.0 inside a container, set LIGHTPANDA_ADVERTISE_HOST to a reachable hostname such as the container DNS name. Otherwise /json/version can advertise ws://0.0.0.0:9222/, which remote CDP clients cannot use.
Example with custom document-cache limits:
docker run --rm -it \
-p 8000:8000 \
-e SILKWORM_MCP_DOCUMENT_MAX_COUNT=256 \
-e SILKWORM_MCP_DOCUMENT_MAX_TOTAL_BYTES=64000000 \
-e SILKWORM_MCP_DOCUMENT_TTL_SECONDS=7200 \
silkworm-mcp
For local development, compose.yml provides the same setup with health checks and restart policy:
docker compose up --build
Then verify the container is ready:
curl http://127.0.0.1:8000/readyz
Key runtime environment variables:
SILKWORM_MCP_DOCUMENT_MAX_COUNTSILKWORM_MCP_DOCUMENT_MAX_TOTAL_BYTESSILKWORM_MCP_DOCUMENT_TTL_SECONDSSILKWORM_MCP_DOCUMENT_STORE_PATHSILKWORM_MCP_LOG_LEVELSILKWORM_MCP_READINESS_REQUIRE_CDPSILKWORM_MCP_READINESS_CDP_WS_ENDPOINT
Example Workflow
- Call
silkworm_fetchfor the target page. - Use the returned
document_handlewithinspect_document. - Use
parse_html_documentorparse_html_fragmentwhen you need exact parser structure, node types, or parser errors. - Use
find_selectors_by_textto derive candidates from visible text, then iterate onquery_selector,compare_selectors, andanalyze_css_selectorswhen stylesheet structure or hidden elements matter. - For JS-heavy pages, use
query_selector_cdporextract_structured_data_cdpagainst the rendered DOM. - Use
extract_linksto verify pagination or detail pages. - Feed the stable plan into
run_crawl_blueprint. - Convert the same blueprint into code with
generate_spider_template, then check it withvalidate_spider_code.
Useful built-in MCP references:
silkworm://reference/overviewsilkworm://reference/silkworm-cheatsheetsilkworm://reference/silkworm-playbooksilkworm://reference/template-variantssilkworm://reference/scraper-rs-cheatsheetsilkworm://reference/crawl-blueprint-schema
Use transport: "cdp" when pages require JavaScript rendering. run_crawl_blueprint will connect to the configured CDP endpoint, and generate_spider_template will emit a starter spider that runs through CDPClient instead of the default HTTP client.
Both run_crawl_blueprint and generate_spider_template accept a variant override. When omitted, they infer a crawl style from the blueprint:
list_only: listing pages emit items directly, with optional paginationlist_detail: listing pages schedule detail requests and a separateparse_detailsitemap_xml: sitemap/XML entrypoints are fetched withmeta={"allow_non_html": True}and parsed before scheduling page requestscdp_heavy: rendered-page crawls keep the CDP execution path and a general-purpose parse/follow flow
run_crawl_blueprint returns the resolved execution_variant, and generate_spider_template returns the resolved template_variant, so clients can see which crawl shape was actually used.
Testing
Run the automated test suite with:
just test
Acknowledgement
This project builds on the excellent work behind FastMCP, silkworm-rs, and scraper-rs. Together they provide the MCP server framework, crawling runtime, and HTML parsing foundations that make this project possible.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。