How to Use the Wallabag (Pocket Alternative) MCP in Google ADK

Q: How do I search Wallabag (Pocket Alternative) using Google ADK?

The agent uses listentries to get all article IDs. It then passes these into other tools, like getentry, enabling your LlmAgent to analyze the full text content for deep context.

Q: Can I remove a tag using Google ADK?

Yes, you run removetagfromentry. This tool takes an entry ID and a tag name, cleanly removing that association from your self-hosted Wallabag (Pocket Alternative) list.

Q: What if I want to delete articles with Google ADK?

You use deleteentry. This is the direct way to wipe an article from the MCP Server. The agent ensures that entry ID no longer exists in your Wallabag (Pocket Alternative) records.

Q: Is it possible to list all tags using Google ADK?

Absolutely. The listtags tool allows your agent to pull every tag name from the MCP Server, giving you a complete inventory of how your Wallabag (Pocket Alternative) content is organized.

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Create your Vinkius account to connect Wallabag (Pocket Alternative) 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 Wallabag (Pocket Alternative) with Google ADK

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Store and retrieve article content with `create_entry`

When your agent finds something valuable, it uses `create_entry`. This tool saves the URL to a permanent record in the Wallabag (Pocket Alternative) list. It lets you build an internal knowledge base that’s always up-to-date. Your agent can reliably save content from various sources and structure it for later querying within your Google Cloud environment.

Pinpointing details with `list_annotations`

You don't just want the article; you want the specific insight. The agent uses `list_annotations` to pull out all notes tied to an entry ID. This is key when feeding data into Vertex AI. It gives your deep-context Gemini model precise, actionable details instead of vague summaries.

Managing saved articles with `mark_entry_favorite`

Need to flag something for follow-up? The agent calls `mark_entry_favorite`. This simple mechanism stars an entry in the MCP Server, making it easy for your workflow to prioritize important reads. This allows you to filter through thousands of articles and immediately focus on the absolute must-read items.

Setup guide

Set up Wallabag (Pocket Alternative) 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 Wallabag (Pocket Alternative) 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="Wallabag (Pocket Alternative)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wallabag (Pocket Alternative) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Wallabag (Pocket Alternative) MCP in Google ADK

The agent uses `list_entries` to get all article IDs. It then passes these into other tools, like `get_entry`, enabling your LlmAgent to analyze the full text content for deep context.

Yes, you run `remove_tag_from_entry`. This tool takes an entry ID and a tag name, cleanly removing that association from your self-hosted Wallabag (Pocket Alternative) list.

You use `delete_entry`. This is the direct way to wipe an article from the MCP Server. The agent ensures that entry ID no longer exists in your Wallabag (Pocket Alternative) records.

Absolutely. The `list_tags` tool allows your agent to pull every tag name from the MCP Server, giving you a complete inventory of how your Wallabag (Pocket Alternative) content is organized.

The server processes Entry URLs, annotations, and associated tags. Your agent handles these specific data fields when interacting with the Wallabag (Pocket Alternative) tools.

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