argus-web-mcp

argus-web-mcp

A self-hosted MCP server offering unlimited web search, scraping, and content extraction tools with full-content reads, no truncation, and zero per-request cost.

Category
访问服务器

README

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<a href="https://github.com/jlowin/fastmcp"><img src="https://img.shields.io/badge/MCP-Streamable_HTTP-2dd4bf?style=for-the-badge&logo=anthropic&logoColor=white" alt="MCP"/></a> <img src="https://img.shields.io/badge/tools-20-22c55e?style=for-the-badge" alt="20 tools"/> <img src="https://img.shields.io/badge/tests-526_passing-3fb950?style=for-the-badge&logo=pytest&logoColor=white" alt="tests"/> <img src="https://img.shields.io/badge/SSRF_coverage-100%25-16a34a?style=for-the-badge&logo=shieldsdotio&logoColor=white" alt="SSRF 100%"/> <img src="https://img.shields.io/badge/python-3.12-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="python"/> <br/> <img src="https://img.shields.io/badge/self--hosted-unlimited-0ea5e9?style=for-the-badge" alt="self-hosted"/> <img src="https://img.shields.io/badge/cost-%240%2Frequest-22c55e?style=for-the-badge" alt="zero cost"/> <img src="https://img.shields.io/badge/truncation-none-14b8a6?style=for-the-badge" alt="no truncation"/> <img src="https://img.shields.io/badge/LLM-not_required-8957e5?style=for-the-badge" alt="no LLM needed"/> <img src="https://img.shields.io/badge/owner-SURIOTA-0d9488?style=for-the-badge" alt="SURIOTA"/>

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Argus Panoptes - the all-seeing hundred-eyed giant. A self-hosted, unlimited, owned web fetch / scrape / search MCP server for SURIOTA. Mythological sibling to the Hermes AI Server. Every Claude Code / Codex CLI connects over remote HTTP -> zero local process on the client.

Why Argus

We surveyed the 12 leading paid/free web tools. All meter requests, truncate content, or cost money. Argus is built on best-in-class OSS, self-hosted on the SURIOTA VPS - so it's unlimited, free per-request, returns full content (no truncation), and is owned end-to-end. It's tools, not a brain: the consuming agent (Claude Code's Opus 4.8 / Codex) does the reasoning - Argus needs no LLM.

You were paying for... Argus replaces it with... Edge
Brave / Tavily / Exa search search / smart_search (SearXNG, 70+ engines) unlimited, multi-engine + semantic rerank
Jina Reader / Firecrawl scrape read / scrape / batch_read / crawl full content, JS render + stealth, no truncation
Jina / Firecrawl PDF read_pdf (pymupdf4llm + Docling) tables preserved (COT/FOMC)
Firecrawl extract / map extract_structured / map_urls CSS/XPath, sitemap discovery
Exa findSimilar / answer find_similar / research(deep) local embeddings, full-content bundle
- (no competitor self-hosts) github_search / scholar_search / trading extractors / watch structured GitHub / academic / FX moat

Architecture

<div align="center"> <img src="assets/architecture.svg" alt="Argus architecture" width="100%" /> </div>

Fetch strategy (cheap -> expensive): httpx static -> trafilatura -> escalate to Crawl4AI/Playwright only when JS/thin -> Patchright stealth on anti-bot -> Wayback archive if the host is unreachable. Every hop is SSRF-guarded.

The 20 tools

<details open> <summary><b>Search & discovery</b></summary>

Tool What it does
search Web search via SearXNG - categories (general/news/science/it), domain filters, safesearch, hybrid lexical+semantic rerank, recency boost, auto-backoff on throttle
smart_search Auto-routes a query (deterministic, no LLM) -> github / scholar / news / it / general
scholar_search Structured academic search (Semantic Scholar -> CrossRef): citations, DOI, abstract, OA-PDF
github_search Structured GitHub repositories/code/issues + stars/language/sort
map_urls Discover a site's URLs (sitemap.xml / robots.txt / 1-hop links)
find_similar Semantically-related pages via local embeddings (Exa-style, no API)

</details>

<details> <summary><b>Fetch & read</b></summary>

Tool What it does
read URL -> clean markdown/text/html, no truncation; extract_media adds links+images
scrape JS-rendered fetch + screenshot/actions; auto-escalates to Patchright stealth on anti-bot
batch_read Parallel read over many URLs, partial-failure tolerant
read_pdf PDF -> markdown + tables (pymupdf4llm; mode='quality' -> Docling for scanned/complex)
crawl Crawl4AI BFS deep-crawl, robots-respecting, domain-confined

</details>

<details> <summary><b>Extract & research</b></summary>

Tool What it does
extract_structured Pull fields via CSS/XPath selectors (deterministic); optional LLM tier (auto/llm)
research One-shot: deep (search->full-read top-K->bundle) / quick (hits) / answer (cited, opt-in LLM); highlights=top sentences per source

</details>

<details> <summary><b>Monitoring & trading moat</b></summary>

Tool What it does
watch / list_watches / unwatch Poll a page (full or selector) -> POST to a webhook (e.g. Telegram) on change
forexfactory_calendar Economic calendar (FairEconomy JSON) -> Aurix calendar_client shape
cot_report CFTC Commitments of Traders, structured
news_sentiment_feed Ranked news + optional sentiment score

Trading parsers are validated to >=99% field accuracy (100% on golden files).

</details>

Hard guarantees

  • SSRF - resolve-then-validate, IP-pin anti-rebinding, scheme allowlist, per-hop redirect re-check, private/metadata/CGNAT deny -> 100% test coverage (hard gate).
  • No silent truncation - full documents always; the streaming body cap is a DoS guard, not a content cap.
  • Resilience - content-addressed cache (per-source TTL, stale-serve), per-host courtesy delay + circuit breaker, archive egress-fallback.
  • Secure deploy - bearer/JWT auth + nginx TLS + fail2ban; runs unprivileged via systemd; secrets via EnvironmentFile.

Quickstart (local)

uv venv --python 3.12 && uv pip install -e ".[dev]"
crawl4ai-setup && crawl4ai-doctor          # one-time Chromium
# optional extras: ".[semantic]" (find_similar/rerank), ".[pdf-quality]" (Docling)

# SearXNG (search backend) - loopback only
cd deploy/searxng && docker compose up -d

python -m argus.server                      # stdio (local dev)
# or HTTP:  uvicorn argus.server:app --host 127.0.0.1 --port 8090

Register with Claude Code:

claude mcp add --transport http argus https://argus.<domain>/mcp \
  --header "Authorization: Bearer ${ARGUS_TOKEN}"

Register with Codex (~/.codex/config.toml):

[mcp_servers.argus]
url = "https://argus.<domain>/mcp"
bearer_token_env_var = "ARGUS_TOKEN"

Benchmarked

Head-to-head vs Claude Code & Codex native web tools (n=50, identical queries): discovery parity, but Argus wins decisively on content depth (~7,000 words of full content per query vs hits/summaries), freshness, and cost/ownership. Semantic rerank quantified at +27% nDCG on conceptual queries. Full report: benchmark/RESULTS.md.

Repo map

Path What
src/argus/ the package - server.py (20 tools), fetch/, extract/, security/ssrf.py, trading/, semantic.py, cache.py, watch.py
docs/ DESIGN / ROADMAP / TOOL-SPECS / COMPETITIVE-GAP
benchmark/ harness + RESULTS + head-to-head
deploy/ systemd / nginx / provision.sh / fail2ban / SECURITY-AUDIT / searxng/
SOUL.md / AGENTS.md / CHANGELOG.md identity / agent guide / history

Status

Feature-complete & validated locally. 20 tools / 526 offline tests (+3 browser, +2 slow) green / SSRF 100% / ruff clean / security-audited (no Critical/High). Deploy to the VPS is gated only on owner inputs (subdomain + DNS, ARGUS_TOKEN, optional SearXNG proxy) - see docs/02-ROADMAP.md.

<div align="center"> <sub>Built for <b>PT Surya Inovasi Prioritas (SURIOTA)</b> / self-hosted / unlimited / owned</sub> </div>

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