How to Use the Inoreader MCP in AutoGen

Q: How do AutoGen agents manage Inoreader feeds?

They call tools like liststreamcontents and markallasread as part of their conversation. Each agent interprets the tool output to inform their next move.

Q: Can I use AutoGen to organize my Inoreader tags?

Absolutely. Your agents can call listtags and edittag to reorganize your content automatically based on the topics they detect.

Coordinate multi-agent debates in AutoGen to filter, categorize, and act on your Inoreader feeds with consensus-based decisions.

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Connect Inoreader MCP to AutoGen

Create your Vinkius account to connect Inoreader 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.

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Setup Inoreader with AutoGen

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Debate content priority in AutoGen

Let your research and filter agents discuss which articles to keep by using `list_stream_contents`. They can negotiate based on your preferences before you see a single headline. This process filters out noise before it reaches your main feed. The agents settle on a priority list that matches your current interests.

Negotiate organization with AutoGen agents

Use `list_tags` to let your agents see your current folder structure. They can debate how to rename folders or move items using `rename_tag` to keep things organized. Conflicts in your categorization are resolved through agent discussion. It ensures your tagging schema remains consistent across multiple sources.

Manage subscription health in AutoGen

Your maintenance agent can use `list_subscriptions` to find dead feeds. It then proposes removing them or adding new ones via `quick_add_subscription`. This keeps your information sources healthy and relevant. The system acts on your behalf once the agents reach a consensus on the changes.

Setup guide

Set up Inoreader 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes Inoreader tools and returns structured results.

agent.py

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="Inoreader_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Inoreader data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="Inoreader_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Inoreader data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Inoreader. 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 Inoreader MCP in AutoGen

They call tools like `list_stream_contents` and `mark_all_as_read` as part of their conversation. Each agent interprets the tool output to inform their next move.

Absolutely. Your agents can call `list_tags` and `edit_tag` to reorganize your content automatically based on the topics they detect.

The MCP server acts as an isolated interface. Only the specific article and tag data requested by the agent is ever accessed.

Yes, they use the MCP server to communicate with the Inoreader API. You just provide the token and the agents handle the tool calls.

The system is designed for this. You can set up a supervisor agent that makes the final call after the others debate using `get_unread_counts`.

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