How to Use the Medium Alternative MCP in AutoGen
Coordinate multi-agent editorial debates and publish approved posts using AutoGen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Medium Alternative MCP to AutoGen
Create your Vinkius account to connect Medium Alternative 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.
Coordinate multi-agent editorial workflows
The `create_post` tool executes the final publishing step after your AutoGen agents reach consensus on a draft. An author agent writes the draft, an editor agent suggests revisions, and a publisher agent triggers the API call once both approve. This collaborative debate ensures that no unreviewed draft gets published. The final tool call only executes when the conversational group consensus matches your configured publishing criteria.
Manage publication submissions via this MCP Server
The `create_publication_post` tool routes approved drafts to specific publications managed by your team. Your AutoGen agents use `list_contributors` to verify that the proposed writer is authorized before the publishing agent attempts to submit the post. If the writer is not on the contributor list, the security agent halts the workflow and alerts the group. The agents then discuss alternatives, such as publishing to the user's personal profile instead.
Verify account routing across agent groups
The `get_me` tool retrieves your profile details so your AutoGen agents can verify which account is active. They combine this with `list_publications` to map out all available publication targets before starting a writing session. This pre-flight check prevents agents from sending drafts to incorrect queues. The routing agent distributes the target publication IDs to the rest of the group, keeping all agents aligned.
Set up Medium Alternative 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 Medium Alternative 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="Medium Alternative_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Medium Alternative 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="Medium Alternative_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Medium Alternative 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 Medium. 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 Medium Alternative MCP in AutoGen
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