io.github.VelvetSP/web-retrieval-mcp
An open-source MCP server providing AI agents with neural web search via Exa and tiered web fetch (Exa, local browser, Firecrawl) as a drop-in replacement for built-in web tools, preserving provenance and guarding against SSRF.
README
<!-- mcp-name: io.github.VelvetSP/web-retrieval-mcp -->
web-retrieval-mcp — MCP web search & web fetch for AI agents (Exa + Firecrawl)
web-retrieval-mcp is an open-source Model Context Protocol (MCP) server that gives AI agents two web tools — neural web search (Exa) and a tiered web fetch (Exa → optional local browser → Firecrawl) — as a drop-in replacement for built-in WebSearch/WebFetch. It preserves per-source provenance, guards against SSRF, runs cross-platform (macOS/Linux/Windows), and works with Claude Code, Claude Desktop, Cursor, and any MCP client. Runs on free API tiers.
Why replace the built-in web tools?
An agent's stock WebSearch / WebFetch tend to flatten many sources into one blurry summary, drop provenance, and silently fail on JavaScript-heavy or anti-bot pages. This server fixes that:
| Built-in web tools | web-retrieval-mcp | |
|---|---|---|
| Search results | One merged summary, sources conflated | One block per result — each keeps its own title, URL, highlights, and text, plus a Sources trailer |
| Fetch reliability | Single attempt, gives up on hard pages | Tiered fallback: Exa contents → optional local browser → Firecrawl, with a [served by: …] provenance header |
| JS / anti-bot pages | Usually fails | Opt-in real headless browser (camoufox) on demand |
| Safety | — | SSRF guard rejects loopback / private / link-local / multicast hosts before any request |
| Cost | Bundled / metered by your model vendor | Free on Exa + Firecrawl free tiers (see below) |
Runs on free API tiers — and the free tiers are more than enough
Both providers have a genuinely usable free, no-credit-card tier, and because fetches hit Exa first (Firecrawl is only the fallback), a single developer or agent rarely touches the Firecrawl quota at all:
| Provider | Free tier (verified 2026) | Role in this server |
|---|---|---|
| Exa | 1,000 requests / month, no card | Powers web_search and the first web_fetch tier |
| Firecrawl | 1,000 pages / month, no card | Fallback fetch tier only — rarely reached |
| camoufox (local browser) | Unlimited & free — runs on your machine | Opt-in render="always" tier for JS/anti-bot pages |
For a personal agent that's ~33 searches and 33 hard-page fetches every day, indefinitely, for $0/month. Heavy production workloads can upgrade either provider independently — the tiering and code don't change.
Features
- 🔎
web_search— neural / keyword / auto search via Exa, one provenance-preserving block per result. - 🌐
web_fetch— single-URL readable content through a resilient tier chain with provenance headers. - 🧱 Tiered fallback — Exa contents → (opt-in) local camoufox browser → Firecrawl, so hard pages still resolve.
- 🛡️ SSRF guard — non-public hosts (loopback, RFC-1918, link-local, multicast, NAT64) are refused up front.
- 🔑 Cross-platform secrets — env vars, a key file, the
keyringlibrary, or an OS secret tool. No keys on the command line. - 🚫 Hook to disable the built-ins — bundled PreToolUse hook + one-command installer so agents must use these tools.
- 📦 One-command install —
uvx,pipx, orpip; ships two console scripts.
Quickstart
# Run with no install — uvx fetches and runs it on demand:
uvx web-retrieval-mcp
# Or install the CLI (isolated, recommended):
pipx install web-retrieval-mcp # or: pip install web-retrieval-mcp
# Optional extras:
pip install "web-retrieval-mcp[render]" # local headless-browser tier (render="always")
pip install "web-retrieval-mcp[keyring]" # cross-platform native secret store
python -m camoufox fetch # one-time browser download (only if you use [render])
On PyPI. Prefer the bleeding edge? Install from source:
pipx install git+https://github.com/VelvetSP/web-retrieval-mcp.
Get free API keys: Exa → https://exa.ai · Firecrawl → https://firecrawl.dev — then:
export EXA_API_KEY="exa-..."
export FIRECRAWL_API_KEY="fc-..."
Register with Claude Code
# After `pipx install web-retrieval-mcp` puts the script on your PATH:
claude mcp add web-retrieval -- web-retrieval-mcp
# Or with no prior install, via uvx:
claude mcp add web-retrieval -- uvx web-retrieval-mcp
Register with Claude Desktop / any MCP client
{
"mcpServers": {
"web-retrieval": {
"command": "web-retrieval-mcp",
"env": {
"EXA_API_KEY": "exa-...",
"FIRECRAWL_API_KEY": "fc-..."
}
}
}
}
command above assumes web-retrieval-mcp is on PATH (after pipx install). Otherwise set command to uvx with args: ["--from", "git+https://github.com/VelvetSP/web-retrieval-mcp", "web-retrieval-mcp"].
Tools
| Tool | Signature | What it returns |
|---|---|---|
web_search |
web_search(query, num_results=8, mode="auto") |
Neural web search via Exa. One block per result — each with its own title, URL, published date, highlights, and text — plus a Sources list. mode ∈ auto | neural | keyword. |
web_fetch |
web_fetch(url, render="auto", max_chars=20000, max_age_hours=None) |
One URL's readable content through the tier chain, with a [served by: …] provenance header. |
web_fetch details
Fetch one URL's readable content through the tier chain, returned with a [served by: …] header.
render="auto" (default) → Exa /contents → Firecrawl # no local browser
render="never" → Exa /contents → Firecrawl # same, explicit
render="always" → camoufox (local browser) → Firecrawl # for JS / anti-bot pages
max_age_hours controls Exa's freshness window (0 = force fresh; None = Exa default cache).
Cross-platform API keys
Keys are resolved in-process (never on the command line, which is visible via ps), cheapest/safest source first — the same code path on macOS, Linux, and Windows:
- Environment variables —
EXA_API_KEY,FIRECRAWL_API_KEY. Universal; required for headless / CI. - Key file — a dotenv-style
KEY=valuefile at$WEB_RETRIEVAL_MCP_ENV_FILEor<config-dir>/keys.env(~/.config/web-retrieval-mcp/on Linux/macOS,%APPDATA%\web-retrieval-mcp\on Windows). keyringlibrary — native store on every OS: macOS Keychain, Windows Credential Locker, Linux Secret Service / KWallet. Install the[keyring]extra, then store under serviceweb-retrieval-mcp:keyring set web-retrieval-mcp EXA_API_KEY keyring set web-retrieval-mcp FIRECRAWL_API_KEY- OS-native secret CLI — macOS
security, Linuxsecret-tool(libsecret), if present.
An unexpanded ${...} config literal is treated as absent.
Block the built-in web tools (Claude Code)
So agents and subagents can't silently fall back to the lower-fidelity built-ins, this repo ships a PreToolUse hook that denies WebSearch / WebFetch and points the agent here. Install it idempotently:
web-retrieval-mcp-install # patch ~/.claude/settings.json (backs it up first)
web-retrieval-mcp-install --print # preview only, write nothing
web-retrieval-mcp-install --register-mcp # also run `claude mcp add`
web-retrieval-mcp-install --uninstall # remove the hook
Break-glass: touch ~/.claude/.web-builtins-allow re-enables the built-ins for the session; remove the file to re-arm. The hook is pure POSIX sh (no jq).
Security — SSRF
web_fetch validates every URL before any request: non-http(s) schemes and any host resolving to a non-public IP (loopback, private/RFC-1918, link-local, reserved/NAT64, multicast) are refused. The only tier that runs a real browser on your machine (camoufox) is opt-in (render="always"), so the default path never exposes it. Residual: the camoufox tier follows redirects, so the up-front check covers the initial URL only — full closure would need a validating forward proxy. The default auto/never path never runs the browser.
FAQ
What is web-retrieval-mcp?
An open-source MCP (Model Context Protocol) server that gives AI agents two web tools — web_search (Exa) and web_fetch (Exa → local browser → Firecrawl) — as a drop-in replacement for built-in web access, with provenance preservation and an SSRF guard.
Does it work with Claude Code?
Yes. Register with claude mcp add web-retrieval -- web-retrieval-mcp, and optionally install the bundled hook so the built-in WebSearch/WebFetch are disabled in favor of these tools.
Is it free? Yes. The code is MIT-licensed, and it runs on the free tiers of Exa (1,000 requests/month) and Firecrawl (1,000 pages/month), neither of which requires a credit card. The local browser tier is free and unlimited.
Which platforms are supported?
macOS, Linux, and Windows. Key resolution and the server are cross-platform; the local browser tier needs the optional [render] extra.
How is it better than built-in WebSearch/WebFetch? It returns one result block per source (no conflated summaries), preserves provenance, falls back across multiple fetch backends so hard/JS pages still resolve, and guards against SSRF.
Do I need the browser stack?
No. Search and the default fetch path need only mcp + anyio. The camoufox/playwright browser is the optional [render] extra, used only for render="always".
Publishing
Status: ✅ on PyPI · ✅ GitHub Release · ✅ listed on the official MCP Registry as
io.github.VelvetSP/web-retrieval-mcp.
Aggregators (PulseMCP, Glama, mcp.so, Smithery) ingest from the official registry, so the listing propagates to them automatically. The server.json manifest and the full runbook live in PUBLISHING.md. For a new version: bump the version, python -m build, twine upload, then mcp-publisher publish.
Contributing
Issues and PRs welcome at https://github.com/VelvetSP/web-retrieval-mcp. The server is a single module (src/web_retrieval_mcp/server.py); stdout is JSON-RPC only — keep all diagnostics on stderr.
License
MIT © VelvetSP
<sub>Keywords: MCP server, Model Context Protocol, AI agent web search, LLM web fetch, Exa API, Firecrawl API, camoufox, Claude Code MCP, web scraping for agents, RAG retrieval, SSRF-safe fetch, cross-platform, free web search API.</sub>
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。
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。
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。
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。
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。
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。
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。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。