How to Use the Ghost MCP in LlamaIndex

Index your Ghost site data into searchable knowledge bases using LlamaIndex.

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Connect Ghost MCP to LlamaIndex

Create your Vinkius account to connect Ghost to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Ghost with LlamaIndex

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Turn Ghost posts into vector search indexes

Use `list_posts` to grab your entire archive and ingest it into a vector store. You’re building a brain that knows your own writing style, allowing your agent to answer questions based on your actual published history. This is better than simple retrieval. By indexing the content from `get_post_details`, you ensure the agent’s knowledge is always current without manual updates.

Contextualize Ghost members for LlamaIndex RAG

Feed `list_members` and `list_membership_tiers` into your agent to build a profile of your audience. Your RAG application can now retrieve insights about who reads your work and what they pay for. It allows for hyper-personalized responses. When you ask a question about your site, the agent knows exactly which tiers are performing best based on live data.

Query Ghost site configuration as knowledge

Index your site settings and page list using `get_site_settings` and `list_pages` to give your agent a map of your site. It stops guessing about your structure and starts acting on ground truth. This makes your RAG pipeline smarter. The agent understands the difference between a static page and a dynamic post because it has the raw metadata indexed.

Setup guide

Set up Ghost MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Ghost MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Ghost tools.",
)
response = await agent.run("List recent Ghost data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ghost. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ghost MCP in LlamaIndex

You use the MCP tool spec to convert the server tools into a format LlamaIndex understands. It essentially turns your site into a queryable database.

Yes. Once you index the posts, your agent can perform semantic searches across your entire writing history to retrieve relevant snippets.

Your subscriber emails are treated as sensitive context. Vinkius secures the transport, ensuring the data only moves through authorized channels you define.

It does. You can include drafts in your index to let your agent assist with editing before you ever hit publish.

You can refresh your index periodically by re-running the tool calls. The server provides the latest state every time you poll.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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