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Ghost MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Post, Get Post Details, Get Site Settings, and more

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ghost as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The Ghost app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Ghost. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Ghost?"
    )
    print(response)

asyncio.run(main())
Ghost
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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

About Ghost MCP Server

Connect your Ghost publishing account to any AI agent and take full control of your content management and membership workflows through natural conversation.

LlamaIndex agents combine Ghost tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Content Orchestration — List and manage all blog posts (published, draft, scheduled) and retrieve detailed HTML content and metadata programmatically
  • Member Intelligence — Query your subscriber directory and retrieve detailed profiles, including join dates and membership tiers to monitor audience growth
  • Site Navigation — List and oversee static site pages (About, Contact) and manage content tags to maintain a perfectly organized site taxonomy
  • Publishing Control — Create new posts or drafts and update publishing statuses directly through your agent to streamline your editorial pipeline
  • Site Visibility — Retrieve general site settings, newsletter configurations, and active membership offers using natural language commands

The Ghost MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Ghost tools available for LlamaIndex

When LlamaIndex connects to Ghost through Vinkius, your AI agent gets direct access to every tool listed below — spanning blogging, newsletter-publishing, membership-sites, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_post

Requires a title and supports optional HTML content. The post is created as a "draft" by default but can be set to "published" immediately. Create a new Ghost post or draft

get_post_details

Essential for reviewing the full content of an article. Get details for a specific post

get_site_settings

Essential for verifying site identity. Get Ghost site settings and configuration

list_members

Includes emails, status, and join dates. List all site members

list_membership_tiers

g., Free, Premium) available on the site. Useful for understanding the subscription structure. List membership tiers and plans

list_newsletters

Newsletters are used to send content updates to members. List all configured newsletters

list_offers

List active membership offers

list_pages

g., About, Contact) defined on the Ghost site. Pages are similar to posts but used for non-blog content. List all static site pages

list_posts

Includes basic metadata and post IDs for detailed retrieval. List all Ghost blog posts

list_tags

Useful for organizing and filtering posts. List all content tags

Connect Ghost to LlamaIndex via MCP

Follow these steps to wire Ghost into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Ghost

Why Use LlamaIndex with the Ghost MCP Server

LlamaIndex provides unique advantages when paired with Ghost through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Ghost tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Ghost tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Ghost, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Ghost tools were called, what data was returned, and how it influenced the final answer

Ghost + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Ghost MCP Server delivers measurable value.

01

Hybrid search: combine Ghost real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Ghost to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ghost for fresh data

04

Analytical workflows: chain Ghost queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Ghost in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Ghost immediately.

01

"List all my draft posts in Ghost."

02

"Create a new draft titled 'Welcome to our MCP Blog'."

03

"Show me a list of all site members and their emails."

Troubleshooting Ghost MCP Server with LlamaIndex

Common issues when connecting Ghost to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Ghost + LlamaIndex FAQ

Common questions about integrating Ghost MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Ghost tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.