How to Use the Ghost (Publishing & Newsletter Platform API) MCP in LlamaIndex
Turn your Ghost publication into a searchable knowledge base for your LlamaIndex RAG apps. Ground your agent in real data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ghost (Publishing & Newsletter Platform API) MCP to LlamaIndex
Create your Vinkius account to connect Ghost (Publishing & Newsletter Platform API) 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.
Index Your Entire Publication
Feed your entire Ghost site into a LlamaIndex vector store. Your agent calls `content_list_posts`, `content_list_pages`, and `content_list_tags` to pull all public content into a structured index. Once it's indexed, you can ask complex questions about your own articles. LlamaIndex finds the relevant text from your Ghost data and uses it to give you a factual answer, not a guess.
Build a Content-Aware LlamaIndex Agent
This is more than just reading data; it's about acting on it. Your RAG app can query the index to find posts on a topic, then use `admin_update_post` to add a 'Related Articles' section to them automatically. Your agent can also use `admin_list_members` and `admin_list_newsletters` to build an index of audience activity. Now you can ask, 'Which members got the last three newsletters?' and get an answer based on real API calls.
Ground Your Agent in Facts, Not Fiction
Stop your agent from making things up. Giving it access to this MCP Server forces it to use tools like `content_get_settings` and `content_list_tiers` to get hard data from your Ghost site. When your agent needs to know your site's title or your membership prices, it doesn't hallucinate. It makes a direct API call, indexes the result, and uses that specific data in its response. It's the only way to trust the output.
Set up Ghost (Publishing & Newsletter Platform API) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 (Publishing & Newsletter Platform API) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 (Publishing & Newsletter Platform API) tools.",
)
response = await agent.run("List recent Ghost (Publishing & Newsletter Platform API) data") 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.
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Common questions about Ghost (Publishing & Newsletter Platform API) MCP in LlamaIndex
Use it with your favorite AI tools
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