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Markdown Frontmatter Harvester

Markdown Frontmatter Harvester MCP Server with 1 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

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. Vinkius routes your AI agents directly to Markdown Frontmatter Harvester through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Markdown Frontmatter Harvester
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the gray-matter MCP Server?

The gray-matter MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to gray-matter via 1 tools. 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. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (1)

harvest_markdown_frontmatter

Tools for your AI Agents to operate gray-matter

Ask your AI agent "Scan my Obsidian vault at C:/Notes and list all files that have the tag 'urgent'." and get the answer without opening a single dashboard. With 1 tools connected to real gray-matter data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Markdown Frontmatter Harvester App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 1 Markdown Frontmatter Harvester tools with your AI agents right now

Vinkius routes your AI agents to Markdown Frontmatter Harvester through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
harvest

Harvest markdown frontmatter on Markdown Frontmatter Harvester

Provide the absolute directory path. Scan a local directory of Markdown files (Obsidian/Hugo) and extract all YAML frontmatter tags, dates, and metadata

What the Markdown Frontmatter Harvester MCP Server unlocks

If you use a Knowledge Management system like Obsidian, Logseq, or Hugo, you likely use YAML 'frontmatter' at the top of your markdown files to track metadata like status: draft, tags: [idea, research], or date: 2024-01-01.

When you ask Claude, 'Which of my notes are marked as drafts and never published?', it fails because it can't read thousands of local files quickly. This MCP solves that by acting as a hyper-fast metadata librarian. It recursively scans your local folder, rips out only the YAML frontmatter from every file, and aggregates it into a clean JSON index. The AI can then instantly filter, sort, and query your entire knowledge base.

The Superpowers

  • Vault-Wide Indexing: Turns scattered local markdown metadata into a unified database.
  • Lightning Fast: Uses fast-glob and gray-matter to scan 1,000+ files in milliseconds.
  • Zero Config: Just give the AI the absolute path to your notes folder.
  • 100% Air-Gapped Privacy: Your private journal entries and business notes never leave your machine.

Frequently asked questions about the Markdown Frontmatter Harvester MCP Server

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.

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.

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.

Vinkius AI Gateway

We built the connector to Markdown Frontmatter Harvester. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Markdown Frontmatter Harvester to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.