Sifthound

io.github.khsarvar由 GitHub 账号 khsarvar 发布v0.2.1更新于 Oct 27, 2026

Self-hosted, Tavily-compatible web search, extract, crawl and map tools for AI agents.

概览

AI 生成的概览

自托管的网页搜索、正文提取、爬取与站点地图工具,通过 stdio 或 HTTP 提供给 AI 助手,兼容 Tavily 接口。

可以做什么
  • 通过 SearXNG 元搜索实例进行网页搜索,可选由 Claude 生成答案,并用 BM25 混合排序
  • 一次从最多 20 个网址提取干净的 Markdown 或纯文本
  • 按深度、广度、数量上限及路径/域名过滤条件爬取站点
  • 只列出站点网址而不抓取页面内容
适用场景
适合希望助手能搜索并阅读网页、但不想购买搜索 API 密钥,且愿意在自己掌控的基础设施上运行的用户。也适合已经运行或可以运行 SearXNG、想要本地 Tavily 式搜索、提取与爬取的团队。
运行要求
以本地 Python 进程运行(pip 或 uvx,例如 uvx sifthound mcp),或作为自托管服务器通过 HTTP 的 /mcp 访问。搜索功能需要 SEARXNG_URL 指向启用了 JSON 输出的 SearXNG 实例;提取、爬取和站点地图无需该变量。可选的 ANTHROPIC_API_KEY 用于生成答案,API_KEYS 用于启用 Bearer 令牌鉴权。抓取网页需要网络访问。
安装前请注意
提取和爬取会请求调用方提供的网址,服务器会发起对外请求;除非将 ALLOW_PRIVATE_NETWORKS 设为 true,否则会阻止私有、回环和链路本地地址。若在 localhost 之外暴露,应设置 API_KEYS 并在 MCP_ALLOWED_HOSTS 中列出主机名。通过 api_key 网址参数传密钥可能被写入日志,建议改用 Authorization 请求头。搜索经 SearXNG 转发至公共搜索引擎,IP 可能被限流或触发验证码。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Sifthound,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

Siftdog — open-source, self-hosted Tavily alternative

[CI] [License: MIT] [PyPI] [Python 3.11+]

Website · Benchmark · Blog · Hosted waitlist

Siftdog is an open-source, self-hosted web search API for AI agents and LLM apps, and a drop-in replacement for the Tavily API. It serves the same /search, /extract, /crawl and /map endpoints with the same request and response shapes, so code written for Tavily (including the official Python SDK and the LangChain integration) works against your own server by changing only the base URL. It needs no search API key.

  • Search through a SearXNG metasearch instance, with no search API keys
  • Extraction of clean markdown or text from web pages with trafilatura
  • Ranking: BM25 relevance blended with the upstream engine's order; advanced depth fetches each page and returns its most relevant chunks
  • Answers (include_answer) written by Claude from the retrieved results
  • Crawling and site maps with depth, breadth, limit and regex path/domain filters
  • MCP server for Claude Code, Claude Desktop, Cursor and other MCP clients, over HTTP at /mcp or stdio with siftdog mcp
  • SSRF protection: private and internal addresses are blocked, including via redirects and DNS rebinding
  • MIT licensed

Use it as a drop-in Tavily replacement

Point the official Tavily clients at your Siftdog server with api_base_url. The key can be any string when auth is disabled, or one of your API_KEYS.

python
from tavily import TavilyClient
client = TavilyClient(api_key="your-siftdog-key", api_base_url="http://localhost:8000")results = client.search("latest python release", search_depth="advanced", max_results=5)pages = client.extract(urls=["https://en.wikipedia.org/wiki/Okapi_BM25"])

LangChain, through langchain-tavily:

python
from langchain_tavily import TavilySearch
search = TavilySearch(    max_results=5, tavily_api_key="your-siftdog-key", api_base_url="http://localhost:8000")search.invoke({"query": "what is BM25 ranking"})

Tested with tavily-python 0.8.4 (search, extract, crawl, map; sync and async) and langchain-tavily 0.2.18 (search, extract).

Quick start

Docker Compose (includes SearXNG)

The full stack, with a SearXNG instance for /search, using the published image:

bash
git clone https://github.com/khsarvar/siftdog && cd siftdogcp .env.example .env          # optional: set API_KEYS and ANTHROPIC_API_KEYdocker compose up

Try a search:

bash
curl -s localhost:8000/search -H "Content-Type: application/json" \  -d '{"query": "latest python release", "search_depth": "advanced"}'

If you set API_KEYS, add -H "Authorization: Bearer <key>". OpenAPI docs are served at http://localhost:8000/docs.

Docker image only

bash
docker run -p 8000:8000 ghcr.io/khsarvar/siftdog

/extract, /crawl and /map work on their own. For /search, point it at a SearXNG instance with the JSON format enabled: -e SEARXNG_URL=http://your-searxng:8080. Images are published for linux/amd64 and linux/arm64, tagged latest and by version (0.1.0, 0.1).

pip

bash
pip install siftdogSEARXNG_URL=http://your-searxng:8080 siftdog --port 8000

Configuration is read from environment variables or a .env file (see Configuration).

Use with MCP clients (Claude, Cursor, ...)

Siftdog is also an MCP server with four read-only tools: siftdog_search, siftdog_extract, siftdog_crawl and siftdog_map.

Connect to a running Siftdog server (Streamable HTTP at /mcp). With Claude Code:

bash
claude mcp add --transport http siftdog http://localhost:8000/mcp \  --header "Authorization: Bearer <key>"      # omit the header if API_KEYS is empty

Or run it locally over stdio with uv, no server needed. SEARXNG_URL is only needed for siftdog_search:

bash
claude mcp add siftdog -e SEARXNG_URL=http://your-searxng:8080 -- uvx siftdog mcp

Claude Desktop (claude_desktop_config.json), Cursor (.cursor/mcp.json) and most other clients take the same command as JSON:

json
{  "mcpServers": {    "siftdog": {      "command": "uvx",      "args": ["siftdog", "mcp"],      "env": { "SEARXNG_URL": "http://your-searxng:8080" }    }  }}

API keys work as for the REST API: send Authorization: Bearer <key>, or append ?api_key=<key> to the URL for clients that can't set headers (URLs can end up in logs, so prefer the header). The HTTP endpoint only answers requests addressed to localhost unless you list your hostname in MCP_ALLOWED_HOSTS.

Siftdog vs Tavily, Firecrawl and crw

SiftdogTavilyFirecrawlcrw
LicenseMITProprietary (hosted service)AGPL-3.0AGPL-3.0
Self-hostedYesNoYesYes (also a managed API)
Tavily-compatible APIYes—No (own API)No (own API)
Search sourceSearXNG metasearchProprietary—SearXNG (bundled)
JavaScript renderingNo (static HTML)—YesYes (Lightpanda, Chrome fallback)
MCP serverYes (HTTP and stdio)YesYesYes
LanguagePython—TypeScriptRust

Measured results: Siftdog vs Tavily search benchmark (reproducible with bench/).

When to pick something else: if you'd rather not run infrastructure, or you want Tavily's neural reranking, use hosted Tavily. If you need JavaScript-rendered pages or a scraping platform with more features, look at Firecrawl or crw. Siftdog is for teams that want the Tavily API on their own servers under a permissive license.

FAQ

What is Siftdog?

Siftdog is an open-source web search and extraction API for AI agents. It reproduces the Tavily API (/search, /extract, /crawl, /map) on infrastructure you run yourself, using SearXNG for search results, trafilatura for content extraction and BM25 for relevance ranking.

Is Siftdog a drop-in replacement for Tavily?

For the four core endpoints, yes. The request and response fields match Tavily's, and the official tavily-python SDK and langchain-tavily work by setting api_base_url. The differences: relevance scores come from BM25 rather than a neural reranker, instructions (crawl/map) and include_image_descriptions (search) are accepted but ignored, and Tavily's /research endpoint isn't implemented.

Do I need a search API key?

No. Search results come from SearXNG, which queries public search engines. The only optional key is ANTHROPIC_API_KEY, used when a request sets include_answer.

Does it work with LangChain?

Yes, through the official langchain-tavily package. Pass api_base_url pointing at your Siftdog server, as in the example above.

Does Siftdog have an MCP server?

Yes. The API server exposes MCP over Streamable HTTP at /mcp, and uvx siftdog mcp runs it over stdio for local clients such as Claude Desktop and Cursor. See Use with MCP clients.

Why does /search return 502 "failing engines"?

SearXNG gets its results by querying public search engines (Brave, DuckDuckGo, Google and others), and those engines rate-limit or CAPTCHA an IP that sends many searches. When every engine is failing, Siftdog returns 502 with the engines and reasons, for example failing engines: brave (Suspended: too many requests), duckduckgo (CAPTCHA), rather than an empty result list your agent would mistake for "nothing found". Engines recover on their own, from minutes to about a day. If some engines still work, you get their results and the server logs which engines were down. To reduce blocking, enable more engines in docker/searxng/settings.yml and avoid bursts of identical searches.

Is it safe to expose Siftdog on a public server?

Set API_KEYS so only your clients can call it. /extract and /crawl fetch caller-supplied URLs, so Siftdog refuses private, loopback and link-local addresses, checked on every redirect and at connect time against the exact address used, which also stops DNS rebinding.

Can I run it without Docker?

Yes: pip install siftdog, then run siftdog with SEARXNG_URL pointing at any SearXNG instance with the JSON output format enabled. /extract, /crawl and /map work without SearXNG.

Local development

bash
python3 -m venv .venv && .venv/bin/pip install -e ".[dev]"docker compose up searxng -d    # uncomment its `ports:` in docker-compose.yml first.venv/bin/siftdog             # http://127.0.0.1:8000, docs at /docs.venv/bin/pytest                # offline test suite.venv/bin/ruff check . && .venv/bin/ruff format .

API

All endpoints take JSON POST bodies and a Authorization: Bearer <key> header (a legacy api_key body field is also accepted). If API_KEYS is empty, auth is disabled.

EndpointPurposeKey parameters
/searchWeb searchquery, search_depth (basic/advanced), topic (general/news), time_range, max_results, chunks_per_source, include_answer, include_raw_content, include_images, include_domains, exclude_domains
/extractClean content from up to 20 URLsurls, extract_depth, format (markdown/text), include_images
/crawlCrawl a site and return page contenturl, max_depth, max_breadth, limit, select_paths, exclude_paths, select_domains, exclude_domains, allow_external, format
/mapList a site's URLs without contentsame traversal parameters as /crawl

Differences from hosted Tavily: instructions (crawl/map) and include_image_descriptions are accepted but ignored; relevance scores come from BM25, not a neural reranker.

Configuration

Environment variables (see .env.example): API_KEYS, SEARXNG_URL, ANSWER_ENABLED, ANSWER_MODEL, ANSWER_EFFORT, FETCH_TIMEOUT, FETCH_CONCURRENCY, FETCH_MAX_BYTES, ALLOW_PRIVATE_NETWORKS, CRAWL_MAX_LIMIT, MCP_ALLOWED_HOSTS.

MCP_ALLOWED_HOSTS lists the hostnames the /mcp endpoint answers besides localhost, for example search.example.com,search.example.com:*. Requests addressed to any other host get 421, which protects a local server from DNS-rebinding attacks by web pages.

Security: /extract and /crawl make the server fetch caller-supplied URLs. Requests to private, loopback and link-local addresses are blocked (including via redirects) unless ALLOW_PRIVATE_NETWORKS=true. The check runs at connect time against the exact address being connected to, so DNS rebinding can't get around it. Fetches of user URLs ignore HTTP(S)_PROXY, since a proxy would hide the destination address. As defense in depth for hostile multi-tenant deployments, also restrict egress at the network level.

License

Siftdog is released under the MIT License. The "Siftdog" name is covered separately by the trademark policy: use the code freely, but forks and hosted services need a different name.

来源:README.md,提交 3454d52

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.2.1最新Sep 25, 2026

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