How to Use the Miniflux (RSS Reader) MCP in Google ADK

Q: Can Google ADK agents manage multiple users?

The server supports admin tools like listusers and updateuser if your API key has the required privileges. You can manage access levels through the agent.

Q: Does Miniflux (RSS Reader) work with long-context models?

Yes. You can pull large batches of entries using listentries and feed them into a 1M+ token context window for deep analysis.

Q: Is there a way to export my feeds via Google ADK?

Yes, the exportopml tool generates an OPML file. Your agent can save this to a cloud bucket or local storage for backup purposes.

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Connect Miniflux (RSS Reader) MCP to Google ADK

Create your Vinkius account to connect Miniflux (RSS Reader) to Google ADK 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 Miniflux (RSS Reader) with Google ADK

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Perplexity

Automated feed discovery

Your agent uses `discover_subscriptions` to scan websites for RSS feeds. It then uses `create_feed` to add them to your account automatically. This removes the manual work of tracking down feed URLs. The agent maintains your list so you spend time reading instead of configuring.

Data-driven article organization

The agent calls `list_categories` to understand your current setup. It then uses `update_category` to move entries into logical buckets for easier retrieval. It handles the heavy lifting of sorting thousands of entries. Your agent keeps the structure consistent as your interests evolve over time.

Native integration with Google Cloud

By running this MCP Server alongside Google ADK, you bridge your RSS data with your cloud services. The agent fetches content and can pipe it into your existing data pipelines. Use `get_entry` to pull specific items into your workflow. The agent acts as the bridge between your external news sources and your internal Google infrastructure.

Setup guide

Set up Miniflux (RSS Reader) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Miniflux (RSS Reader) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Miniflux (RSS Reader)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Miniflux (RSS Reader) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Miniflux (RSS Reader) MCP in Google ADK

You define the server endpoint in your toolset configuration. The agent then registers all 46 tools automatically for use in your Gemini-powered workflows.

The server supports admin tools like `list_users` and `update_user` if your API key has the required privileges. You can manage access levels through the agent.

Yes. You can pull large batches of entries using `list_entries` and feed them into a 1M+ token context window for deep analysis.

Yes, the `export_opml` tool generates an OPML file. Your agent can save this to a cloud bucket or local storage for backup purposes.

The server only reads your RSS entries and feed settings. It does not store or process your personal identity data beyond what is required for API requests.

Use it with your favorite AI tools

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