Siftdog

io.github.khsarvar由 GitHub 账号 khsarvar 发布v0.3.0更新于 Oct 24, 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、兼容 Tavily 的 MCP 服务器,为助手提供网页搜索、页面提取、站点爬取和站点地图工具。

可以做什么
通过 SearXNG 实例搜索网页,可选由检索结果生成 AI 答案,并支持域名过滤(siftdog_search)。从最多 20 个给定网址提取干净的 markdown 或纯文本(siftdog_extract)。按深度、广度、数量及路径或域名过滤条件爬取站点(siftdog_crawl)。只列出站点网址而不抓取内容(siftdog_map)。四个工具均为只读。
适用场景
当你希望为智能体提供类似 Tavily 的搜索、提取和爬取能力,但更愿意自行运行基础设施、且不想使用搜索 API 密钥时适用。适合 Claude Desktop、Claude Code、Cursor 等本地客户端,以及需要宽松许可自托管方案的团队。
运行要求
以 stdio 在本地运行,通常通过 uvx 启动 siftdog 包,或通过 HTTP 的 /mcp 连接已运行的 Siftdog 服务器。搜索需要 SEARXNG_URL 指向启用了 JSON 输出的 SearXNG 实例;提取、爬取和地图无需它。若服务器设置了 API_KEYS,客户端需发送 Authorization Bearer 头。可选的 ANTHROPIC_API_KEY 用于启用 include_answer。
安装前请注意
提取和爬取会抓取调用方提供的网址,服务器因此会发起对外请求;除非启用 ALLOW_PRIVATE_NETWORKS,否则私有、回环和链路本地地址会被阻止。API_KEYS 为空时认证被禁用。以 api_key 网址参数传递密钥可能泄漏到日志,建议使用 Authorization 头。include_answer 会把检索结果发送给 Anthropic 并消耗 ANTHROPIC_API_KEY。仅处理静态 HTML,不渲染 JavaScript。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Siftdog,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. v0.3.0最新Sep 28, 2026

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