WebFetchSAFE
Live Web Access for Your Local AI — Tunable Search & Clean Content Extraction
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://mseep.ai/app/manooll-webfetch-mcp)
Live Web Access for Your Local AI — Tunable Search & Clean Content Extraction
🚨 The Problem
Local LLMs can't browse the web. Out of the box, LM Studio — and most MCP setups — leave your model stuck in 2023 or earlier. No live data. No current events. Paste a URL into chat and all you get back is:
"I can't access the web." A few third-party MCP servers exist, but they’re API-locked, incomplete, or a pain to run. That means LM Studio users are flying blind — unable to fetch or search live content reliably.
✅ The Solution — WebFetch.MCP
WebFetch.MCP is a drop-in, self-hosted MCP server that brings your local AI:
- 🕒 Fresh, Real-Time Data — Go beyond your model’s training cutoff.
- 🌐 Reliable URL Fetch — Paste a link, get the clean content.
- 🎛 Full Search Control — Choose engines, boost sources, filter by type/date/language.
- 🔓 API-Free Freedom — No API keys, quotas, or tracking.
- 🧠 AI-Ready Output — Structured, clean, distraction-free text your LLM can actually use.
Privacy Note: Search requests and web fetches are visible to your ISP and target sites. Use a VPN for enhanced privacy.
🏆 Why It’s Different
9a3c9d204058OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add webfetch-mcp -- npx -y [email protected]
{
"mcpServers": {
"webfetch-mcp": {
"command": "npx",
"args": [
"-y",
"[email protected]"
]
}
}
}Exposed tools (2)
2 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
web_fetch | read | Fetch and extract readable content from a web page URL using Mozilla Readability. |
web_search | read | Search the web using a local SearxNG instance. Returns search results with titles, URLs, and snippets. |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (3 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (1)
@modelcontextprotocol/sdk, @mozilla/readability, jsdom, zod
Gates applied: no_behavioural_pass.
9a3c9d204058full audit observations/trust-audit/mcp-server/manooll__webfetch.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 9a3c9d204058 | SAFE | B | 89 | first audit |
Questions
What is the WebFetch MCP server?
Live Web Access for Your Local AI — Tunable Search & Clean Content Extraction
What tools does WebFetch expose?
2 in total: 2 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is WebFetch safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does WebFetch need?
No credential environment variables were found in its source, so it appears to need none.
How does WebFetch run?
It speaks stdio, so it runs as a local process your client starts. It is published on npm as webfetch-mcp at 0.1.8.
How current is this page?
The grade is for one exact copy of the source (9a3c9d204058), read on 2026-10-08. The repository is watched and re-audited when it changes.