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Connect Markdown Frontmatter Harvester to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your AI instant access to your note metadata.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Markdown Frontmatter Harvester.

  1. 01

    Harvest markdown frontmatter

    This capability scans a local directory of Markdown files to extract all YAML frontmatter. It pulls tags, dates, and other metadata into a single structured format.

Real work

What teams actually run

01

Draft Management

Ask your AI to find all notes marked as 'draft' so you can finish your writing.

02

Tag Auditing

Identify which notes are missing specific tags or have duplicate labels.

03

Timeline Analysis

Query your notes by date to see how many entries you made during a specific month or year.

04

Content Organization

Use the metadata index to find specific project files without manually searching through folders.

Automate a task

Put Markdown Frontmatter Harvester to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Markdown Frontmatter Harvester works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Markdown Frontmatter Harvester to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

915ms average. Fast in production.

Markdown Frontmatter Harvester is checked daily against the live service.

Daily averagePeak 1149ms
Oct 3Today
Fastest day
722ms
Slowest day
1149ms
14-day trend
Slowing+14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Markdown Frontmatter Harvester, so you can see the experience inside your AI.

It does not authenticate your account with Markdown Frontmatter Harvester. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Markdown Frontmatter Harvester Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_pSzsBgFkLuKZKUA1Ej60Dr18di9s0JV9d52i5cdI/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Markdown Frontmatter Harvester capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "markdown-frontmatter-harvester-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pSzsBgFkLuKZKUA1Ej60Dr18di9s0JV9d52i5cdI/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Markdown Frontmatter Harvester in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Markdown Frontmatter Harvester owners hand off.

This is for anyone running a local-first knowledge management system who wants to use AI to interact with their data.

  • 01

    Knowledge Workers

    People using Obsidian or Logseq to manage massive amounts of research and personal notes.

  • 02

    Bloggers and Writers

    Users running Hugo or similar static site generators who need to manage post statuses and tags.

  • 03

    Developers

    Engineers who want to query their own documentation or project notes using an AI agent.

FAQ

Questions Markdown Frontmatter Harvester owners ask.

  • 01

    Does this MCP upload my notes to the cloud?

    No. This is an air-gapped solution. The scanning happens locally on your machine, and only the extracted metadata is processed for your AI client.

  • 02

    Can I use this with Obsidian?

    Yes. It is specifically designed to work with Markdown-based systems like Obsidian, Logseq, and Hugo.

  • 03

    How fast is the scanning process?

    It is very fast. Using optimized capabilities, it can scan over 1,000 files in milliseconds.

  • 04

    What kind of metadata can it extract?

    It extracts any YAML frontmatter you have defined, such as tags, dates, status, or custom fields.

  • 05

    Do I need to configure anything in my markdown files?

    No configuration is required. As long as your files use standard YAML frontmatter, the MCP will recognize and harvest it.

  • 06

    Does it send my entire note content to the AI?

    No. To protect your privacy and save context tokens, it strictly extracts ONLY the YAML metadata block between the --- delimiters. The actual body text of your note is ignored.

  • 07

    Will this alter my Obsidian files?

    Not at all. The parser operates in a strict read-only mode. It reads the files into memory to extract the metadata and never writes back to the disk.

  • 08

    Does it work with nested folders?

    Yes! The engine uses recursive globbing to scan every single folder and sub-folder inside the path you provide.

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