How to Use the Wallabag (Pocket Alternative) MCP in Claude Code

Q: How do I get all saved articles using Wallabag (Pocket Alternative) and Claude Code?

Simply run a command that executes listentries. The output is JSON, which you can immediately pipe into other tools in your CI/CD pipeline for processing.

Q: Can I build an automated tagging system with Wallabag (Pocket Alternative) and Claude Code?

Yes. Write a script that uses createentry to ingest new URLs, then immediately executes addtagstoentry, making the process fully autonomous in your shell environment.

Q: If I need to clean up old records using Wallabag (Pocket Alternative) and Claude Code, what should I do?

You script the process: first listentries to identify IDs, then use deleteentry on those specific IDs. It's reliable batch cleanup for any system.

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Connect Wallabag (Pocket Alternative) MCP to Claude Code

Create your Vinkius account to connect Wallabag (Pocket Alternative) to Claude Code 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 Claude Code

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Claude

Perplexity

Batch process and tag content in the terminal.

Write a shell script that first calls `list_entries` to grab IDs. Then, pipe those IDs into a loop that executes `add_tags_to_entry`. This lets you automate the categorization of hundreds of articles without touching the GUI. This process is ideal for cron jobs where classification needs to happen nightly based on entry data.

Programmatic annotation and content extraction.

You can write a script that uses `get_entry` to pull article bodies. Then, it calls `create_annotation` using the raw content as input. This makes Wallabag (Pocket Alternative) a data source for your CI/CD system. Retrieving existing notes is simple: use `list_annotations` with specific IDs.

Enforce article read status via scripts.

Need to mark all articles linked from a deployment as 'read' for reporting? Use the `mark_entry_read` tool in your script. It's direct, headless execution. You can also use `list_entries` and then programmatically call `delete_entry` on old or irrelevant records, keeping the database clean.

Setup guide

Set up Wallabag (Pocket Alternative) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see wallabag-pocket-alternative-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Wallabag (Pocket Alternative) transactions." It will automatically discover and invoke the available Wallabag (Pocket Alternative) tools.

Terminal

claude mcp add --transport http wallabag-pocket-alternative-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Wallabag (Pocket Alternative) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "wallabag-pocket-alternative-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Wallabag (Pocket Alternative) MCP in Claude Code

Simply run a command that executes `list_entries`. The output is JSON, which you can immediately pipe into other tools in your CI/CD pipeline for processing.

Yes. Write a script that uses `create_entry` to ingest new URLs, then immediately executes `add_tags_to_entry`, making the process fully autonomous in your shell environment.

You pass a known entry ID to the command line tool, which executes `get_entry`. This returns the full, structured article data right to your standard output for processing.

Yes. The MCP Server touches entry URLs and annotations. Running these commands in a controlled environment keeps the data flow predictable, which is critical for secure pipelines.

You script the process: first `list_entries` to identify IDs, then use `delete_entry` on those specific IDs. It's reliable batch cleanup for any system.

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