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Wallabag (Pocket Alternative) MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Add Tags To Entry, Create Annotation, Create Entry, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wallabag (Pocket Alternative) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Wallabag (Pocket Alternative) MCP Server for Mastra AI 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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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "wallabag-pocket-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Wallabag (Pocket Alternative) Agent",
    instructions:
      "You help users interact with Wallabag (Pocket Alternative) " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Wallabag (Pocket Alternative)?"
  );
  console.log(result.text);
}

main();
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Wallabag (Pocket Alternative) tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from Wallabag (Pocket Alternative) via MCP

Why Use Mastra AI with the Wallabag (Pocket Alternative) MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Wallabag (Pocket Alternative) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Wallabag (Pocket Alternative) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Wallabag (Pocket Alternative) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Wallabag (Pocket Alternative), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Wallabag (Pocket Alternative) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Wallabag (Pocket Alternative) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Wallabag (Pocket Alternative) tools alongside other MCP servers

Example Prompts for Wallabag (Pocket Alternative) in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Wallabag (Pocket Alternative) + Mastra AI FAQ

Common questions about integrating Wallabag (Pocket Alternative) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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