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Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Ghost through Vinkius, pass the Edge URL in the `mcps` parameter and every Ghost tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Ghost app connector for CrewAI 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
from crewai import Agent, Task, Crew

agent = Agent(
    role="Ghost Specialist",
    goal="Help users interact with Ghost effectively",
    backstory=(
        "You are an expert at leveraging Ghost tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Ghost "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Ghost
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

When paired with CrewAI, Ghost becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ghost tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Ghost

Why Use CrewAI with the Ghost MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Ghost through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Ghost + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Ghost for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Ghost, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Ghost tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Ghost against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Ghost in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Ghost + CrewAI FAQ

Common questions about integrating Ghost MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.