Markdown Frontmatter Harvester MCP Server for Google ADKGive Google ADK instant access to 1 tools to Harvest Markdown Frontmatter

Name: Markdown Frontmatter Harvester
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Markdown Frontmatter Harvester as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Markdown Frontmatter Harvester MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

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Gemini

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VS Code

JetBrains

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+ other MCP clients

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="markdown_frontmatter_harvester_agent",
    instruction=(
        "You help users interact with Markdown Frontmatter Harvester "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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* 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

About Markdown Frontmatter Harvester MCP Server

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.

Google ADK natively supports Markdown Frontmatter Harvester as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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.

The Markdown Frontmatter Harvester MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Markdown Frontmatter Harvester tools available for Google ADK

When Google ADK connects to Markdown Frontmatter Harvester through Vinkius, your AI agent gets direct access to every tool listed below — spanning yaml-parsing, metadata-extraction, markdown, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

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

Connect Markdown Frontmatter Harvester to Google ADK via MCP

Follow these steps to wire Markdown Frontmatter Harvester into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 1 tools from Markdown Frontmatter Harvester via MCP

Why Use Google ADK with the Markdown Frontmatter Harvester MCP Server

Google ADK provides unique advantages when paired with Markdown Frontmatter Harvester through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Markdown Frontmatter Harvester

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Markdown Frontmatter Harvester tools with BigQuery, Vertex AI, and Cloud Functions

Markdown Frontmatter Harvester + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Markdown Frontmatter Harvester MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Markdown Frontmatter Harvester and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Markdown Frontmatter Harvester tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Markdown Frontmatter Harvester regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Markdown Frontmatter Harvester

Example Prompts for Markdown Frontmatter Harvester in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Markdown Frontmatter Harvester immediately.

"Scan my Obsidian vault at C:/Notes and list all files that have the tag 'urgent'."

"Harvest the frontmatter from my blog repo and tell me which posts are still marked as 'status: draft'."

"Count how many notes I created in the year 2023 based on the YAML 'date' field."

Troubleshooting Markdown Frontmatter Harvester MCP Server with Google ADK

Common issues when connecting Markdown Frontmatter Harvester to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Markdown Frontmatter Harvester + Google ADK FAQ

Common questions about integrating Markdown Frontmatter Harvester MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.