markdown-utilities Connector for AI agents.
2 live capabilities
Create perfectly aligned Markdown tables and nested Tables of Contents from raw data.
Waiting for input…
Why people use markdown-utilities
Markdown Utilities Engine for Perfect Documentation Tables
This Connector changes that. You just hand the raw JSON to your agent, and it uses a dedicated engine to spit out a perfectly aligned Markdown table. No more manual spacing, no more broken lines.
What Vinkius changes
You get consistent, error-free Markdown formatting without the manual cleanup.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Turning API responses into readable tables
An analyst has a JSON blob from a database.
- Real-world use case 02
Building a Table of Contents for a huge README
A dev is writing a huge guide.
- Real-world use case 03
Updating documentation links
A team needs to update a README.
Complete set · 2capabilities
The complete markdown-utilities capability set.
These are the exact actions your AI can choose when you ask it to work with markdown-utilities.
01—02
2 capabilities in this set.
Part of 2 available through markdown-utilities.
- 01 Capability
Generate toc
Creates a nested list of bullet links pointing to the header slugs from raw Markdown. This ensures your documentation is easy to navigate.
- 02 Capability
Generate table from json
Converts a JSON array of objects into a perfectly aligned Markdown table. It handles the headers and rows automatically.
Set up in minutes
One URL. Then ask markdown-utilities to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use markdown-utilities from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it markdown-utilities, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable markdown-utilities for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the markdown-utilities URL.
- Step 03
Save and start
Save the connection and enable markdown-utilities in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"markdown-utilities-engine": {
"url": "https://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using markdown-utilities
Open Agent mode in chat and ask: "Using markdown-utilities, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"markdown-utilities-engine": {
"url": "https://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using markdown-utilities
Ask Copilot: "Using markdown-utilities, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"markdown-utilities-engine": {
"url": "https://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using markdown-utilities
Open Cascade and ask: "Using markdown-utilities, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"markdown-utilities-engine": {
"url": "https://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using markdown-utilities
Ask Cline: "Using markdown-utilities, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add markdown-utilities-engine --transport http "https://edge.vinkius.com/vk_preview_XebVH2xW9hGkErGNE5Hc8aUij1ybmdpCkRVKPgoA/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using markdown-utilities
Ask Claude: "Using markdown-utilities, show me...". 2 tools are ready
Where the request belongs
Work markdown-utilities can move forward.
Technical writers who are tired of manual formatting, developers building internal docs, and data analysts who need to turn raw API responses into readable reports.
Technical Writer
Creating complex READMEs with nested links and multi-row tables for large open source projects.
Software Engineer
Converting database outputs into documentation tables quickly during sprint cycles.
Content Strategist
Maintaining consistent formatting across large documentation hubs and internal wikis.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Stop LLMs from skipping website content. Convert massive HTML files into clean Markdown deterministically without data loss.
Markdown Task Extractor
Instantly scan any local folder of Markdown notes (Obsidian, Notion, Logseq) and aggregate every scattered '- [ ]' to-do item into a single, structured list for your AI.
Markdown Frontmatter Harvester
Scan local Obsidian or Hugo vaults and extract all YAML frontmatter (tags, dates, status) into a single structured JSON. Let your AI query your scattered notes metadata instantly.
Markdown Table to JSON Converter
Convert GitHub-flavored Markdown tables into structured JSON arrays of objects.
Markdown to Plain Text Extractor Alternative
Strips Markdown syntax and measures content reduction.
Bring your own AI
Change the model, client or framework. Keep markdown-utilities connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
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Vercel AI SDK
Before you connect
Questions about markdown-utilities.
The practical details behind the request, access and result.
Does Markdown Utilities Engine help with GitHub README files?
Yes, it's great for that. It handles the specific slug formatting GitHub uses for anchor links so your Table of Contents works perfectly.
Can I use Markdown Utilities Engine with my private data?
Absolutely. Because this Connector runs locally on your machine, your data stays private and never leaves your infrastructure.
How does Markdown Utilities Engine handle large JSON files?
It can process large arrays and turn them into tables without breaking the formatting, making it ideal for large data sets.
Will Markdown Utilities Engine create nested Tables of Contents?
Yes, it supports nested bullet points for complex documentation structures, allowing you to organize large guides easily.
Does Markdown Utilities Engine work with Cursor or Claude?
It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
Do I have to manually format the JSON?
No, the Connector extracts the headers and rows automatically from your JSON objects, saving you from manual typing.
Why use an Connector for Markdown tables?
When generating large Markdown tables, AI models commonly drop rows to save tokens or accidentally break the table structure by forgetting column separators. This Connector guarantees an absolutely perfect conversion from JSON.
How does the TOC generator calculate URL slugs?
It follows standard GitHub Flavored Markdown rules. It parses every Header (e.g. ### My Title), strips special characters, replaces spaces with hyphens, and outputs - [My Title](#my-title) with accurate indentation.
Does this capability send my internal documents to the cloud?
No. The markdown-utilities engine executes completely locally using V8. Your proprietary documentation data is processed safely and privately.
Why use an MCP for Markdown tables?
When generating large Markdown tables, AI models commonly drop rows to save tokens or accidentally break the table structure by forgetting column separators. This MCP guarantees an absolutely perfect conversion from JSON.
One connection away
Give your agent a direct line to markdown-utilities.
Connect markdown-utilities once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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