html-markdown-converter-mcp
Vinkius Edge high-performance Model Context Protocol (MCP) server for bidirectional HTML/Markdown transformation.
Install / Use
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/html-markdown-converter-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of html-markdown-converter-mcp
html-markdown-converter-mcp scores 63/100 on our quality scale, 899th of 958 AI & Machine Learning skills we index.
Its MCP Server is 2.1 KB long, split into 7 sections with 4 code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-12 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 78/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-03. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
html-markdown-converter-mcp compared with similar skills
All 4 of these similar skills score higher than html-markdown-converter-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| html-markdown-converter-mcp (this skill)by vinkius-labs | 63 | 3 | 3mo ago | MCP Server |
| claude-memby thedotmack | 100 | 95.2k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 88.6k | 17d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 85.1k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.3k | today | CLAUDE.md |
Frequently asked questions
- How do I install html-markdown-converter-mcp?
- Run
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/html-markdown-converter-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does html-markdown-converter-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is html-markdown-converter-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 78/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is html-markdown-converter-mcp still maintained?
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubHTML to Markdown Converter MCP
An MCP server optimized for LLM token efficiency, converting raw HTML into clean, well-formatted Markdown.
This tool is especially useful for AI agents because parsing raw HTML consumes a massive amount of tokens and often causes hallucination or context window exhaustion. By converting HTML to Markdown, you save up to 80% on tokens and provide the LLM with a highly structured, readable format.
If you don't want to run this locally, you can use the hosted version for free on Vinkius Edge: HTML Markdown Converter MCP on Vinkius.
Tools Available
convert_html_to_markdown: Converts raw HTML strings into clean Markdown deterministically without LLM truncation or data loss. Preserves headings, links, lists, and code blocks.
Why Use This MCP?
- Token Efficiency: LLMs struggle with the noise of raw HTML tags. Markdown is their native language and is far more token-efficient.
- Deterministic Processing: Bypasses LLM hallucinations when extracting data from complex DOM structures.
- Data Preservation: Accurately maintains headings, lists, links, images, and code blocks during the conversion.
How to use
1. Free Edge Hosting (Recommended)
You do not need to host this yourself! Vinkius provides FREE, highly available edge hosting for MCP servers. You can connect directly via the Vinkius Edge Marketplace.
Alternatively, you can deploy this exact server to our secure V8 isolate cloud in seconds:
npx mcpfusion deploy
This command bundles your code and instantly deploys it to the Vinkius Edge, providing you with a live, DDoS-protected URL ready to be consumed by your AI agents.
2. Run Locally
- Install dependencies:
npm install
- Build the server:
npm run build
- Run the development server:
npm run dev
Built with MCP Fusion
This server was built using the MCP Fusion framework, ensuring high stability, typesafe models, and strict adherence to the Model Context Protocol.
Related Skills
claude-mem
95.2kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Agent-Reach
88.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Understand-Anything
85.1kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
headroom
74.3kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.