Compatible with every major AI agent and IDE
What is the Linkwarden MCP Server?
Connect your Linkwarden instance to any AI agent and take full control of your personal knowledge base through natural conversation. Linkwarden is a self-hosted collaborative bookmark manager to collect, organize, and preserve webpages.
What you can do
- Collection Management — List all your collections, create new ones, and organize your bookmarks into logical folders.
- Web Archiving — Retrieve preserved archive files for your links to ensure you never lose access to important information, even if the original site goes down.
- Dashboard Insights — Access your dashboard data (v1 and v2) to get a high-level overview of your saved content and activity.
- Link Operations — Create, update, and manage links and their associated metadata or highlights directly from the chat.
- System Configuration — Quickly retrieve public runtime configurations and user profile information.
How it works
- Subscribe to this server
- Enter your Linkwarden Instance URL and Personal Access Token
- Start managing your web archives from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers — instantly organize sources and retrieve archived versions of papers or articles without leaving your research flow
- Developers — manage technical documentation links and code snippets directly from your IDE
- Knowledge Workers — maintain a clean, organized library of web resources using natural language commands
Built-in capabilities (32)
Archive a link (triggers an update of the link's archive files)
Send password reset email
Reset password with token
Verify email address
Bulk update links (tags/collections)
Create a new collection
Create or update a highlight
Create a new link
Delete a collection
Delete a highlight
Retrieve an archive file by link ID
Retrieve user avatar
Get collection by ID
Retrieve public runtime configuration
Get dashboard data (v1)
Get dashboard data (v2)
Get a link by ID
Get highlights for a link
Get login configuration
Retrieve migration data (user info, collections, links for export)
Create short-lived preserved format URL token
Retrieve links from a specific collection (public)
Get tags for a collection (public)
Import data for migration
Get all collections
List RSS subscriptions
Stream archived format
Update a collection
Update dashboard layout (v2)
Update a link
Upload or replace a client-side archive file for a specific link
Upload an archive file, create a new link, and store it in the default collection
Why Google ADK?
Google ADK natively supports Linkwarden as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 32 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Linkwarden
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Linkwarden tools with BigQuery, Vertex AI, and Cloud Functions
Linkwarden in Google ADK
Linkwarden and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Linkwarden to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Linkwarden in Google ADK
The Linkwarden 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. All 32 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Linkwarden for Google ADK
Every tool call from Google ADK to the Linkwarden MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see a list of all my bookmark folders?
You can use the list_collections tool. It will retrieve all your existing collections, allowing the AI to show you how your bookmarks are organized.
Is it possible to retrieve an archived version of a saved link?
Yes! Use the get_archive tool with the specific Link ID. This will fetch the preserved archive file associated with that link.
Can I create a new collection directly through the AI?
Absolutely. Use the create_collection tool by providing a unique ID and the collection details in the payload.
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.
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.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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