
Web Page Fetcher
io.github.paimonchanPublished by GitHub account paimonchanv0.1.2Updated Oct 24, 2026
Fetch web pages with SSRF protection. Returns clean, readable markdown from any URL.
The publisher's own server: App Store data for agents
Overview
Lets an assistant fetch a web page by URL and receive clean, readable markdown with headings, lists, tables and code blocks preserved.
- What you can do
- A local MCP server that takes a URL and returns the page content converted to structured markdown, using a readability-style extraction that strips ads, navigation and sidebars. It includes built-in LRU caching, per-domain rate limiting, retries on transient errors, and SSRF protection with private IP blocking and redirect validation. Optional build tags add image extraction and headless-Chrome rendering for JavaScript-heavy sites.
- When to use it
- Useful when an assistant needs to read articles, blog posts, documentation, news pages, forums or schedules and summarize or extract from them. It is not intended for login-protected pages, paywall bypassing, or as a replacement for full browser automation.
- Requirements
- Runs as a local process on the user's machine; desktop only. Install via Go, Homebrew, Scoop, Winget or Docker. No accounts or API keys. Optional JS rendering requires Chrome or Chromium installed and a build with the jsrender tag. Configuration is through environment variables such as PAIMON_MCP_FETCH_TIMEOUT, PAIMON_MCP_FETCH_MAX_LENGTH and PAIMON_MCP_FETCH_USER_AGENT.
Installation
In SourceWeft
- Open Web Page Fetcher in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
paimon-mcp-fetch
Give your AI assistant the ability to read any webpage.
A lightweight MCP server that fetches URLs and returns clean, readable markdown. Built with Go — starts in 5ms, uses ~10MB RAM, zero runtime dependencies.
[Release] [Go Version] [License]
What It Does
You give it a URL → it returns clean markdown.
Good for:
- Reading articles, blog posts, documentation
- Extracting data from news sites, forums, schedules
- Summarizing web content for your AI assistant
- Getting structured output (headings, lists, tables, code blocks preserved)
Not good for:
- Scraping login-protected pages
- Bypassing paywalls
- Replacing a full browser automation tool
Quick Start
1. Install
Pick one method:
2. Configure Your AI Assistant
Add this to your MCP client config:
3. Done
Your AI can now read any URL you give it.
Why This Over Other Fetch Tools?
Configuration
Everything is controlled via environment variables. You probably don't need to change anything — defaults work well for most use cases.
Optional Features
Image Processing
Extract and process images from webpages:
JS Rendering
For JavaScript-heavy sites (SPAs, dynamic content):
Note: Requires Chrome or Chromium installed. Slower (~3-5s/page) but handles sites that static fetch can't.
Supported AI Assistants
Works with any MCP-compatible client. Add the configuration below to your client's config file.
OpenCode
Config file: ~/.config/opencode/opencode.json
Claude Desktop
Config file: claude_desktop_config.json
Cursor
Config file: .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)
VS Code (GitHub Copilot)
Config file: .vscode/mcp.json (workspace) or user settings
Cline
Config file: .cline/mcp.json
Windsurf
Config file: .windsurf/mcp.json
With Custom Configuration
All clients support environment variables. Example with custom timeout and cache:
Security
Built with security in mind from day one:
- SSRF Protection — 7-layer defense against server-side request forgery
- Private IP blocking — Can't access localhost or internal networks
- Redirect validation — Every redirect hop re-checked for safety
- Size limits — Stream-based reading, no memory bombs
- Timeouts — All requests have deadlines
- No secrets in logs — API keys and tokens never logged
Windows Antivirus
Some antivirus may flag unsigned Go binaries as a false positive. This is a known industry issue. Solutions:
- Use
go install— antivirus sees the signed Go compiler - Use Docker — no local binary
- Build from source — verify the code yourself
Architecture
Built with Clean Architecture principles:
- Domain — Business rules, zero external dependencies
- UseCase — Orchestration logic
- Adapters — HTTP client, content extractor, cache, rate limiter, image processor, JS renderer
Full details in the project plan.
License
MIT — do whatever you want with it.
Built with Go. Zero runtime dependencies. Single binary. ~10MB RAM. Starts in 5ms.
Source: README.md at commit 8ca944b
Tools
0Version history
1- v0.1.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Other Fetcher integrations
App Store data for agents
sh.fetcher.appstoreOfficial publisher
A remote MCP server that gives an assistant live App Store data — apps, bundles, reviews, similar items and developers — paid per call in USDC via x402.

Web Fetcher
Published by GitHub account vojtisprime11
A local MCP server that fetches web pages and returns clean Markdown, structured metadata and classified links for an assistant to read.