How to Use the Ghost (Publishing & Newsletter Platform API) MCP in AutoGen
Let a team of AutoGen agents debate and manage your Ghost publication's content strategy. Build consensus, not just code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ghost (Publishing & Newsletter Platform API) MCP to AutoGen
Create your Vinkius account to connect Ghost (Publishing & Newsletter Platform API) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-Agent Content Creation
Set up an editorial team of agents. A 'Writer' agent can use `admin_create_post` to draft an article. Then, an 'Editor' agent can review it, comparing it against past articles it fetches with `content_list_posts`. The Editor can then send feedback to the Writer or just use `admin_update_post` to make fixes itself. This back-and-forth conversation between agents leads to a better final product before anything goes live.
An MCP Server with Checks and Balances
AutoGen's strength is specialized roles. Create a 'Security' agent that only has permission to monitor tool calls. If another agent tries to use `admin_delete_post`, the Security agent can step in and require confirmation. You can also create an 'Audience' agent that uses `admin_list_members` and `admin_list_newsletters` to advise the team. It can recommend the best audience segment for a new post, adding another layer of strategy to the conversation.
Debate Your Membership Strategy
Have your agents figure out your next business move. One agent can pull your current setup with `content_list_tiers` and `admin_list_offers`. Another can analyze your member list with `admin_list_members`. They can then debate the pros and cons of creating a new offer or changing member access. The final decision is based on a consensus they reach after arguing about the data. This is how you automate strategy, not just tasks.
Set up Ghost (Publishing & Newsletter Platform API) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Ghost (Publishing & Newsletter Platform API) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Ghost (Publishing & Newsletter Platform API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Ghost (Publishing & Newsletter Platform API) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Ghost (Publishing & Newsletter Platform API)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Ghost (Publishing & Newsletter Platform API) data")
print(result.messages[-1].content) 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 AutoGen
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