How to Use the Ghost MCP in Google ADK
Analyze massive Ghost publications inside Google ADK using Gemini's million-token context window.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ghost MCP to Google ADK
Create your Vinkius account to connect Ghost to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Process massive Ghost content archives with Google ADK
Gemini models inside Google ADK excel at holding entire sites in memory, and this Ghost toolset feeds them perfectly. Your Google ADK agent calls `list_published_posts` to gather references, then pulls full Ghost articles using `get_post_by_slug` for deep semantic analysis. You can write complex Google ADK queries to find content gaps across thousands of published Ghost pieces. Google ADK pipes this raw Ghost text directly into your Gemini model, making large-scale editorial audits fast and straightforward.
Sync publication metadata to your Google Cloud pipeline
Ground your enterprise data by connecting your Ghost blog directly to your Google ADK cloud pipeline. The Google ADK agent uses `get_site_settings` and `list_subscription_tiers` to extract current Ghost business configurations. This Ghost MCP Server feeds clean JSON directly into your Google ADK workflow. From there, you can easily export the parsed Ghost site structures straight into BigQuery or Vertex AI.
Map author profiles and category structures
Run deep analysis on writer performance by querying Ghost's `list_blog_authors` and matching them with `list_content_tags` inside Google ADK. The Google ADK agent retrieves specific bios via `get_author_details` to build internal Ghost directory graphs. Because Google ADK supports native Ghost MCP tools with high token limits, you can process your entire taxonomy in a single run. The Gemini model maps how your Ghost contributors use different tags without hitting rate limits.
Set up Ghost MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Ghost tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Ghost_agent",
model="gemini-2.0-flash",
instruction="You have access to Ghost tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ghost CMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Ghost MCP in Google ADK
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