tokenmarkdown-mcp
OfficialThis server provides TokenMarkdown MCP tools for fast, LLM-friendly web page extraction and API credit management.
extract_markdown: Fetches any HTTP/HTTPS URL and converts it to clean, dense Markdown, stripping HTML bloat, cookie banners, tracking scripts, and SVGs to preserve context windows.
Configurable image handling: Optionally include or exclude image links in the extracted Markdown output.
check_quota: Lets you check remaining TokenMarkdown API credits and usage status.
Useful for RAG pipelines, AI agents, and research workflows that need low-latency, token-efficient web content extraction.
Provides an n8n workflow blueprint with a webhook extractor node for automated research agents to fetch web pages and convert them to clean Markdown.
Click on "Install 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., "@tokenmarkdown-mcpConvert https://stripe.com/docs/api to clean 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.
⚡ TokenMarkdown (tokenmarkdown.com)
Sub-150ms Web-to-Markdown Engine & Model Context Protocol (MCP) Server
Engineered for LLM context window efficiency, RAG pipelines, and autonomous AI coding agents.
🧭 The Problem: Prompt Bloat & Token Degradation
When autonomous agents or RAG pipelines scrape the web using Puppeteer, Jina, or Firecrawl, they dump 25,000+ tokens of navigation trees, cookie popups, tracking scripts, and inline SVGs directly into the prompt.
High Cost: $0.08+ per page in Claude 3.5 Sonnet token fees.
Slow Latency: 4 to 8 seconds per scrape.
Context Poisoning: LLMs hallucinate on irrelevant footer links and cookie consent disclaimers.
TokenMarkdown compresses web pages by 95% into dense, clean Markdown in sub-150ms, preserving your context budget and boosting reasoning accuracy.
Related MCP server: urltomarkdown-mcp
⚡ Comparison Benchmark
Feature | Raw HTML / Scrapers | Firecrawl / Jina | TokenMarkdown.com |
Average Latency | 6,200ms | 2,100ms | ⚡ 148ms |
Tokens Consumed | ~28,500 tokens | ~3,200 tokens | 🎯 ~940 tokens (95% Savings) |
Prompt Cost (Sonnet) | $0.0855 / call | $0.0096 / call | 💰 $0.0028 / call |
Zero-SDK URL Proxy | ❌ No | ❌ No | ✅ Yes ( |
Native MCP (Stdio + SSE) | ❌ No | Partial | ✅ Yes ( |
🚀 Quickstart
1. Zero-SDK Terminal / cURL Prefix Proxy
You don't even need an API key for quick testing. Prepend https://tokenmarkdown.com/ to any URL:
curl -s "https://tokenmarkdown.com/https://stripe.com/docs/api"2. Claude Desktop & Cursor IDE Setup (MCP)
Add to your Claude Desktop configuration (claude_desktop_config.json) or Cursor MCP settings:
{
"mcpServers": {
"tokenmarkdown": {
"command": "npx",
"args": ["-y", "tokenmarkdown-mcp"],
"env": {
"TOKENMARKDOWN_API_KEY": "<TOKENMARKDOWN_API_KEY>"
}
}
}
}3. REST API (POST /v1/extract)
curl -X POST "https://tokenmarkdown.com/v1/extract" \
-H "Authorization: Bearer <TOKENMARKDOWN_API_KEY>" \
-H "Content-Type: application/json" \
-d '{
"url": "https://linear.app/blog/rethinking-issue-tracking",
"include_images": false
}'Response:
{
"url": "https://linear.app/blog/rethinking-issue-tracking",
"title": "Rethinking issue tracking — Linear Blog",
"markdown": "# Rethinking issue tracking\n\nMost issue trackers are built as databases...",
"tokens": 820,
"savings_percent": 96.2,
"execution_ms": 142
}📦 1-Click Blueprints for Agencies & Automation
Clay.com Blueprint: Drop-in HTTP enrichment column to cut Clay AI credits by 90%.
n8n Workflow Blueprint: Instant webhook extractor node for automated research agents.
🏛️ developer suite & Governance
TokenMarkdown is an official developer primitive engineered by The Quite Good Project.
Parent Specification: RFC-2601 Sovereign Primitives Spec
Companion Tool: TokenEnrich.com (Sub-140ms ~180-Token Firmographics)
📄 License
MIT © 2026 The Quite Good Project.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Related MCP Servers
- AlicenseAqualityDmaintenanceConverts web pages and HTML strings into clean, LLM-optimized Markdown with metadata extraction and token estimation. It uses a lightweight, browserless approach to provide token-efficient output for more effective LLM processing.2MIT
- AlicenseAqualityDmaintenanceConverts URLs and raw HTML to clean Markdown, enabling AI assistants to read web pages for summarization, analysis, or ingestion.2171MIT
- AlicenseNot gradedqualityBmaintenanceConverts web pages to Markdown for MCP clients like Claude, with support for single and batch reads, caching, fallback rendering, and SSRF protection.18MIT
- AlicenseNot gradedqualityDmaintenanceConverts any webpage into clean, LLM-ready Markdown, removing noise and supporting JavaScript rendering.MIT
Related MCP Connectors
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
Converts any URL to clean, LLM-ready Markdown using real Chrome browsers
Jina AI Reader/Search MCP — turn any URL into clean LLM-ready markdown, plus web search.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/quitegoodproject/tokenmarkdown'
If you have feedback or need assistance with the MCP directory API, please join our Discord server