Ghost MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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 11 tools available."
),
)
response = await agent.run(
"What tools are available in Ghost?"
)
print(response)
asyncio.run(main())
* 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 publication to any AI agent to automate your content management workflows through the Model Context Protocol (MCP). Ghost is a powerful headless Node.js CMS tailored for modern publishing. This MCP server enables you to retrieve published posts, manage taxonomy tags, and fetch site configurations directly through natural conversation using the Ghost Content API.
LlamaIndex agents combine Ghost tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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.
Key Features
- Content Discovery — List all published blog posts and static pages, retrieving detailed HTML content and metadata.
- Taxonomy Oversight — Retrieve and list all categorization tags to understand your content architecture.
- Author Management — Fetch profile details for active writers and contributors across the publication.
- Site Configuration — Access global settings, routing rules, and title schemas programmatically.
- Subscription Insights — Retrieve active membership tiers to understand paywall rules and pricing layers.
- Real-time Synchronization — Keep your headless CMS content accessible to your AI assistant without leaving your primary workspace.
The Ghost MCP Server exposes 11 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.
How to Connect Ghost to LlamaIndex via MCP
Follow these steps to integrate the Ghost MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Ghost
Why Use LlamaIndex with the Ghost MCP Server
LlamaIndex provides unique advantages when paired with Ghost through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ghost tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ghost tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ghost, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Ghost real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ghost to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ghost for fresh data
Analytical workflows: chain Ghost queries with LlamaIndex's data connectors to build multi-source analytical reports
Ghost MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Ghost to LlamaIndex via MCP:
get_author_details
Get author profile
get_page_by_slug
Get page details
get_post_by_slug
Get post details
get_site_settings
Get site settings
get_tag_details
Get tag metadata
list_blog_authors
List authors
list_content_tags
List categories/tags
list_published_posts
List published posts
list_static_pages
List static pages
list_subscription_tiers
List subscription tiers
verify_api_connection
Check connection
Example Prompts for Ghost in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ghost immediately.
"List the 5 most recent published posts."
"Get the content of the post with the slug 'welcome'."
"List all active subscription tiers."
Troubleshooting Ghost MCP Server with LlamaIndex
Common issues when connecting Ghost to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGhost + LlamaIndex FAQ
Common questions about integrating Ghost MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Ghost with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ghost to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.