mcp.vanshul.com
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp.vanshul.comFetch https://example.com and give me the main content as markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp.vanshul.com
A public Model Context Protocol (MCP) server, running as a Cloudflare
Worker, that lets any AI agent read the live web as clean Markdown. It builds on
the same extraction pipeline as the sibling reader/ project
(Mozilla Readability + Turndown), exposed over the MCP Streamable HTTP
transport so agentic clients can plug straight in.
Endpoint
POST https://mcp.vanshul.com/mcp # JSON-RPC 2.0 (MCP)
GET https://mcp.vanshul.com/health # { ok: true, tools: [...] }Related MCP server: pagewatch-mcp
Tools
Tool | Input | Returns |
|
| The page's main content as clean Markdown (optionally truncated to |
|
| Only the passages matching |
|
| JSON: title, byline, siteName, excerpt, wordCount |
|
| JSON: all outbound http(s) links + anchor text |
Connect from an MCP client
Remote/HTTP-capable clients (Claude Desktop, Cursor, Continue, …):
{
"mcpServers": {
"web-reader": { "url": "https://mcp.vanshul.com/mcp" }
}
}Stdio-only clients can bridge with mcp-remote:
npx mcp-remote https://mcp.vanshul.com/mcpAdd it to your client
Cursor — Settings → MCP → Add new server, or drop this into
~/.cursor/mcp.json:{ "mcpServers": { "web-reader": { "url": "https://mcp.vanshul.com/mcp" } } }Claude Desktop — add the same block to
claude_desktop_config.json(Settings → Developer → Edit Config). If your version is stdio-only, use:{ "mcpServers": { "web-reader": { "command": "npx", "args": ["mcp-remote", "https://mcp.vanshul.com/mcp"] } } }Continue / VS Code — add
web-readerwith URLhttps://mcp.vanshul.com/mcpto your MCP servers config.
Try it with curl
curl -s https://mcp.vanshul.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
curl -s https://mcp.vanshul.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/call",
"params":{"name":"fetch_markdown","arguments":{"url":"https://example.com"}}}'
# Return only the passages matching a query (token-efficient):
curl -s https://mcp.vanshul.com/mcp \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":3,"method":"tools/call",
"params":{"name":"search_page","arguments":{"url":"https://example.com","query":"more information"}}}'Layout
mcp/
├── src/
│ ├── worker.ts # entry: routes /mcp, /health, rate limit, CORS
│ ├── mcp.ts # JSON-RPC dispatch + tool definitions
│ ├── extract.ts # HTML -> Markdown / links (Readability + Turndown)
│ ├── search.ts # query-focused passage search over extracted Markdown
│ ├── fetcher.ts # fetch with timeout, size cap, re-validated redirects
│ └── security.ts # SSRF guard (block private/internal addresses)
├── public/
│ ├── index.html # landing page (served for non-API paths)
│ ├── og.png # social share image (1200×630)
│ ├── og.svg # social image source
│ ├── robots.txt
│ └── sitemap.xml
├── tests/ # vitest: security, extract, search, mcp dispatch, fetcher, worker
├── wrangler.toml
├── package.json
├── tsconfig.json
└── README.mdDevelop & deploy
cd mcp
npm install
npm run typecheck
npm test # vitest — security, extraction, search, MCP dispatch, fetcher, worker
npm run dev # local worker at http://localhost:8787 (POST /mcp)
npm run deploy # wrangler deployAfter the first deploy, attach the custom domain mcp.vanshul.com in the
Cloudflare dashboard (Workers & Pages → this worker → Settings → Domains), or
uncomment the [[routes]] block in wrangler.toml.
Security
SSRF-safe: only public
http(s)URLs; localhost, private ranges, cloud metadata and every redirect hop are blocked/re-validated.Bounded: 10s fetch timeout, ~3 MB page cap, max 5 redirects, per-IP rate limit.
Stateless & private: no page content is stored; extraction is deterministic with no LLM in the loop.
MCP protocol
Implements initialize, ping, tools/list, tools/call and notifications
(protocol version 2025-06-18). Tool failures are returned as
{ content, isError: true } so the agent can read the message and recover;
malformed requests use standard JSON-RPC error codes.
Documentation
docs/architecture.md — modules, request lifecycle, extraction pipeline, limits
docs/tools.md — full tool & JSON-RPC API reference with examples
docs/security.md — SSRF threat model and mitigations
docs/deployment.md — Cloudflare Worker + custom-domain deploy guide
License
MIT © Vanshul Goyal
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API
Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
- UnifAPIOAuthcom.unifapi
Hosted MCP server for live public-data APIs and Skills for AI agents.
Your agent needs the open web — searched by more than one engine, and read as clean markdown rather than raw HTML. **What you can ask for** • "Search this question with two providers and tell me where they disagree." • "Scrape these 40 URLs into markdown, in one batch." • "Crawl this documentation site and give me every page." • "Do deep research on this topic and cite the sources." • "Find the academic papers behind this claim." **How to use it** Point any MCP client at https://mcp.aisa.one/search/mcp and sign in with OAuth — there is no key to create or paste. 30 tools across several independent providers: Tavily and Exa search, answers, contents and agent runs; Firecrawl scrape, batch scrape, crawl, map and search; Perplexity Sonar, Sonar Pro, reasoning and deep research; Oxylabs AI search and LLM jobs; OpenAI and Anthropic web search; and scholarly search. **Why this rather than the source** Several independent indexes behind one account, because one engine's blind spot is not visible from inside it. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the page here, then ask the same agent who links to it or how much traffic it gets — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo-serp/mcp for the Google results page itself, https://mcp.aisa.one/seo-serp-other-engines/mcp for Bing, Baidu and Naver.
Related MCP Servers
- AlicenseAqualityBmaintenanceAn MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.58 npm1MIT
- AlicenseAqualityCmaintenanceMCP server that provides read_page, screenshot, and pdf tools using a real browser, enabling agents to fetch clean markdown, screenshots, and PDFs from any URL.516 npmMIT
- FlicenseNot gradedqualityCmaintenanceMCP server that enables AI agents to search the web and extract clean Markdown content, with support for JavaScript rendering, structured data extraction, and screenshots.1-
- AlicenseNot gradedqualityCmaintenanceA custom MCP server that provides AI agents with tools to fetch web pages, extract readable article text, extract structured data by CSS selector, and check robots.txt permissions.MIT