Give your AI the ability to read the web. Fetches URLs as clean markdown with multi-tier fallback.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"intercept": {
"args": [
"-y",
"intercept-mcp"
],
"command": "npx"
}
}
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Give your AI the ability to read the web. Fetches URLs as clean markdown with multi-tier fallback.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'intercept-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked intercept-mcp against OSV.dev.
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Give your AI the ability to read the web. One command, no API keys required.
Without it, your AI hits a URL and gets a 403, a wall, or a wall of raw HTML. With intercept, it almost always gets the content — clean markdown, ready to use.
Handles tweets, YouTube videos (with transcripts when available), arXiv papers, PDFs, Wikipedia articles, and GitHub repos. If the first strategy fails, it tries up to 14 more before giving up.
Works with any MCP client: Claude Code, Claude Desktop, Codex, Cursor, Windsurf, Cline, and more.
claude mcp add intercept -s user -- npx -y intercept-mcp
codex mcp add intercept -- npx -y intercept-mcp
Settings → MCP → Add Server:
{
"mcpServers": {
"intercept": {
"command": "npx",
"args": ["-y", "intercept-mcp"]
}
}
}
Settings → MCP → Add Server → same JSON config as above.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"intercept": {
"command": "npx",
"args": ["-y", "intercept-mcp"]
}
}
}
Any client that supports stdio MCP servers can run npx -y intercept-mcp.
No API keys needed for the fetch tool.
URLs are processed in four stages:
Known URL patterns are routed to dedicated handlers before the fallback pipeline:
| Pattern | Handler | What you get |
|---|---|---|
twitter.com/*/status/*, x.com/*/status/* | Twitter/X | Tweet text, author, media, engagement stats (via third-party APIs) |
youtube.com/watch?v=*, youtu.be/* | YouTube | Title, channel, duration, views, description, transcript (when captions available) |
arxiv.org/abs/*, arxiv.org/pdf/* | arXiv | Paper metadata, authors, abstract, categories |
*.pdf | Extracted text (text-layer PDFs only) | |
*.wikipedia.org/wiki/* | Wikipedia | Clean article content via Wikimedia REST API |
github.com/{owner}/{repo} | GitHub | Raw README.md content |
Before hitting any fetcher, every request checks agentsweb.org — a global shared markdown cache for AI agents backed by a 9-source parallel fetch pipeline with JS/SPA rendering (React, Vue, Angular via Cloudflare Browser Run). If another agent already fetched this URL, you get the result in under 50ms.
Every successful fetch contributes back automatically. Entries gain trust through a self-healing consensus model: when independent instances fetch the same URL and confirm the same content, confidence increases.
Opt out entirely with INTERCEPT_SHARED_CACHE=false, or use read-only mode (consume but never contribute) with INTERCEPT_CACHE_READ_ONLY=true.
agentsweb.org also exposes standalone endpoints for direct use:
/web?q= — search the web/research?q= — search + fetch + cache in one call/fetch?url= — fetch on demand, auto-cachedSee agentsweb.org/docs for full API documentation.
If no handler matches (or the handler returns nothing), the URL enters the multi-tier pipeline:
| Tier | Fetcher | Strategy |
|---|---|---|
| 0 | agentsweb.org | Global shared markdown cache — instant if another agent already fetched this URL |
| 1 | Cloudflare Browser Run | JS/SPA rendering + markdown extraction — also powers agentsweb.org (optional, needs API token) |
| 1 | Jina Reader | Clean markdown extraction service |
| 2 | Wayback Machine | Archived version from archive.org |
| 2 | archive.ph | Archived snapshots via timemap API + stealth TLS fetch |
| 2 |