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Wallabag (Pocket Alternative) MCP Server for Google ADKGive Google ADK instant access to 11 tools to Add Tags To Entry, Create Annotation, Create Entry, and more

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Wallabag (Pocket Alternative) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The Wallabag (Pocket Alternative) MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="wallabag_pocket_alternative_agent",
    instruction=(
        "You help users interact with Wallabag (Pocket Alternative) "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
Wallabag (Pocket Alternative)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Wallabag (Pocket Alternative) MCP Server

Connect your Wallabag instance to any AI agent and transform your read-it-later list into an interactive knowledge base. Wallabag is the leading open-source alternative to Pocket and Instapaper, allowing you to host your own articles.

Google ADK natively supports Wallabag (Pocket Alternative) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Article Management — List all saved entries, fetch full content for specific articles, and save new URLs instantly.
  • Organization — Mark articles as read (archive) or favorite (star), and manage tags to keep your library structured.
  • Annotations & Highlights — Retrieve existing annotations or create new highlights and notes directly on your saved articles.
  • Tagging System — List all your existing tags and apply them to entries to categorize your research.
  • Clean Reading — Access the extracted text of articles without ads or distractions, perfect for AI analysis.

The Wallabag (Pocket Alternative) MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Wallabag (Pocket Alternative) tools available for Google ADK

When Google ADK connects to Wallabag (Pocket Alternative) through Vinkius, your AI agent gets direct access to every tool listed below — spanning read-it-later, bookmarking, article-archiving, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add tags to entry on Wallabag (Pocket Alternative)

Add tags to a specific entry

create

Create annotation on Wallabag (Pocket Alternative)

Create an annotation on an entry

create

Create entry on Wallabag (Pocket Alternative)

Save a new URL to Wallabag

delete

Delete entry on Wallabag (Pocket Alternative)

Delete an entry from Wallabag

get

Get entry on Wallabag (Pocket Alternative)

Get a single entry by ID

list

List annotations on Wallabag (Pocket Alternative)

Get annotations for an entry

list

List entries on Wallabag (Pocket Alternative)

Get all entries (articles) from Wallabag

list

List tags on Wallabag (Pocket Alternative)

Get all tags from Wallabag

mark

Mark entry favorite on Wallabag (Pocket Alternative)

Mark an entry as favorite (starred)

mark

Mark entry read on Wallabag (Pocket Alternative)

Mark an entry as read (archive)

remove

Remove tag from entry on Wallabag (Pocket Alternative)

Remove a tag from an entry

Connect Wallabag (Pocket Alternative) to Google ADK via MCP

Follow these steps to wire Wallabag (Pocket Alternative) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 11 tools from Wallabag (Pocket Alternative) via MCP

Why Use Google ADK with the Wallabag (Pocket Alternative) MCP Server

Google ADK provides unique advantages when paired with Wallabag (Pocket Alternative) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Wallabag (Pocket Alternative)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Wallabag (Pocket Alternative) tools with BigQuery, Vertex AI, and Cloud Functions

Wallabag (Pocket Alternative) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Wallabag (Pocket Alternative) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Wallabag (Pocket Alternative) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Wallabag (Pocket Alternative) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Wallabag (Pocket Alternative) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Wallabag (Pocket Alternative)

Example Prompts for Wallabag (Pocket Alternative) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Wallabag (Pocket Alternative) immediately.

01

"List my most recent articles from Wallabag."

02

"Save this URL to my Wallabag: https://example.com/article"

03

"Mark article 452 as read and add the tag 'finished'."

Troubleshooting Wallabag (Pocket Alternative) MCP Server with Google ADK

Common issues when connecting Wallabag (Pocket Alternative) to Google ADK through Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Wallabag (Pocket Alternative) + Google ADK FAQ

Common questions about integrating Wallabag (Pocket Alternative) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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