LinkAce MCP. Manage bookmarks, tags, and collections via natural language.
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LinkAce MCP Server lets your AI agent manage all your saved web links. Use it to create new bookmarks with custom descriptions, organize them into tags and collections (lists), and search your entire library using natural language commands.
It connects directly to any self-hosted LinkAce instance.
What your AI agents can do
Create new bookmark
Adds a new link URL to your LinkAce archive, requiring only the web address.
Create new collection
Creates a brand-new list or folder for grouping bookmarks.
Create new tag
Adds a new category label (tag) to your bookmark system.
Your agent adds a new URL to your LinkAce archive and can assign it titles and descriptions.
The agent creates whole groups of bookmarks (collections) or lists, keeping related links separated.
You can assign multiple tags to a bookmark, allowing you to categorize it by topic or type.
The agent searches your entire link archive using keywords and natural language queries.
You can list all bookmarks, check details for a specific link ID, or get a complete list of available tags and collections.
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LinkAce MCP Server: 9 Tools for Bookmark Management
These tools let your AI agent manage all aspects of your private knowledge base, from adding links to running complex keyword searches.
019d75c7create new bookmark
Adds a new link URL to your LinkAce archive, requiring only the web address.
019d75c7create new collection
Creates a brand-new list or folder for grouping bookmarks.
019d75c7create new tag
Adds a new category label (tag) to your bookmark system.
019d75c7delete bookmark
Removes an existing link from your entire LinkAce archive.
019d75c7get bookmark details
Fetches specific metadata, like the description or original title, for a single bookmark ID.
019d75c7list all bookmarks
Retrieves a list of every link currently stored in your LinkAce account.
019d75c7list all collections
Lists all the organizational collections (lists) you have created.
019d75c7list all tags
Shows a full list of every tag currently used to label your bookmarks.
019d75c7search bookmarks
Searches and returns links from your archive that match specified keywords.
Choose How to Get Started
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
The create_new_bookmark tool lets your agent drop a new web link into your LinkAce archive just by giving it the URL. It doesn't stop there; you can tell your AI client to assign a title and even write a custom description for that link right away, keeping track of what the page was about when you saved it.
The create_new_collection tool lets your agent build brand-new organizational folders—the kind that keep related links grouped up. You tell it to make one, and suddenly you've got a whole new section for all those project notes or articles on AI ethics.
The create_new_tag tool handles labeling. If you wanna categorize something by topic, say 'Finance' or 'Project X,' your agent can add a fresh tag to the system so you keep everything sorted by type.
When it comes to finding stuff, the search_bookmarks tool is what you need. You just ask your AI client for keywords—like "Q3 marketing strategy"—and it searches your entire link library, pulling up every bookmark that matches those terms. It's way faster than clicking through folders.
Need to know what you got? The list_all_bookmarks tool gives you a complete rundown of every single link currently sitting in your account. If you wanna see all the organizational buckets you’ve set up, the list_all_collections tool pulls that list for you, and if you need to check what kind of tags are floating around, the list_all_tags tool shows every tag available.
For deep dives, the get_bookmark_details tool lets your agent fetch the specific metadata—like the original title or a custom description—for any single bookmark ID you point it toward. It’s perfect for checking on one link without having to browse through everything else in the archive.
Finally, when a link is dead or useless, the delete_bookmark tool lets your agent scrub an existing URL out of the whole LinkAce archive permanently.
How LinkAce MCP Works
- 1 Subscribe to this server on the Vinkius Marketplace.
- 2 Enter your personal LinkAce API Key (Bearer Token) and your Instance URL credentials.
- 3 Start prompting your AI client. You can then tell it, 'Search for all links tagged 'research' that were added last month.' or 'Add this article to my 'DevOps' collection.'
The bottom line is you give your agent the keys and the address; everything else happens through conversation.
Who Is LinkAce MCP For?
This is for knowledge workers who save links constantly but lose them in a mess of folders. Think researchers, technical writers, or developers who need to curate massive personal reference libraries. You're the person tired of clicking through dozens of tabs just to find that one snippet from three months ago.
Needs to archive and tag useful articles while reading papers, then search across thousands of links for a specific concept.
Builds a personal technical library of documentation snippets. Needs the agent to retrieve details for links tagged 'react' or 'terraform'.
Collects resources from client meetings and web browsing, needing to automatically create collections like 'Client X: Q3 Ideas' and apply tags.
What Changes When You Connect
- Keep everything organized without manual effort. Instead of manually creating a tag or list, your agent handles it when you ask the AI client to 'File these links under 'DevOps' and mark them as 'must-read'.' (Uses
create_new_tagandcreate_new_collection). - Stop losing context. When you find an article that’s useful but not for your current project, use the agent to immediately run
create_new_bookmark. It handles the archiving step instantly. - Get immediate answers from years of saved research. Instead of opening 15 different folders and manually searching, just ask the agent to 'Search my bookmarks for anything related to quantum computing' (Uses
search_bookmarks). - Full control over your data. You can run
list_all_collectionsorlist_all_tagsto see exactly how your knowledge base is structured before you start adding stuff. - Maintain a clean system. If a link is outdated, don't keep it cluttering up your library. Use the agent to trigger
delete_bookmarkand archive maintenance.
Real-World Use Cases
The After-Hours Research Dump
You spend a day reading 30 articles, saving them all manually. At 10 pm, you're overwhelmed by the sheer volume. You ask your agent: 'Take these five URLs and put them in a new collection called 'Project Alpha'. Tag them with 'review' so I remember to look at them.' The agent runs create_new_collection and assigns tags using multiple tools, solving the organization bottleneck.
The Targeted Deep Dive
You are writing a report on AI ethics. You don't know where you saved that one perfect link from last month. Instead of running list_all_bookmarks and scrolling through hundreds, you ask the agent: 'Search my bookmarks for links containing both 'AI' and 'ethics'.' The agent runs search_bookmarks, delivering only relevant results.
The Documentation Audit
Your dev team keeps dumping random documentation snippets. You need to clean up the mess. You ask your agent: 'List all my current collections and tags.' The agent runs list_all_collections and list_all_tags, giving you a quick overview of what needs pruning.
The Link Cleanup Crew
Your bookmarks list is bloated with dead links. You ask your agent to check the details for 10 specific bookmark IDs using get_bookmark_details. This lets you verify if they still point to active content before deciding which ones to remove via delete_bookmark.
The Tradeoffs
Manual API Scripting
Writing a script that has to call list_all_tags, then iterate through the results, and for each tag, call another endpoint to find relevant bookmarks. It's tedious, error-prone, and takes dozens of lines of code.
→ Just use your AI client. Tell it: 'Find all bookmarks tagged with 'database' and list their details.' The agent handles the multiple steps—listing tags, filtering by tag, getting details—in one conversational call.
Over-relying on Search
Assuming search_bookmarks will find everything. If you search for 'Python', but the link is tagged 'backend' and titled 'python guide,' it might miss context.
→
Remember to structure your data first. Use create_new_tag to add specific tags like 'language: python'. Then, tell the agent to search by tag or keyword for better results.
Mixing Operations
Trying to write a single prompt that says: 'Search for X, then create a collection Y, and tag it Z.' The agent might get confused about execution order.
→
Keep your tasks separated. First, ask the agent to run search_bookmarks to find the relevant links. Then, in a second prompt, tell it: 'Now, take those results and create a new collection called 'Search Results' and tag them with 'draft'.'
When It Fits, When It Doesn't
Use this server if your workflow involves constantly collecting and curating web resources that need to be categorized for later use. It handles the archiving process, which is its core job. Don't use it if you just need a simple database of links without organizational tags or collections—a basic link manager would suffice. But if your problem is 'I find useful stuff every day and I lose it,' this is for you. If your goal is advanced cross-domain relationship mapping (e.g., linking Bookmark A to Document B which lives in Google Drive), this server handles the internal LinkAce structure, but you'll need an additional tool or API connector for external services.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkAce. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Losing links and context shouldn't be a manual chore.
Right now, finding that one perfect article from three months ago is a mess. You remember it was about 'quantum computing,' but you don't know if you saved it under your main 'Research' folder, or maybe in the 'Physics' tag, or perhaps in an old collection called 'Cool Ideas.' The process involves clicking through multiple folders and running keyword searches until you find it.
With LinkAce MCP Server, that conversation changes. You just tell your agent: 'Find me all links related to quantum computing.' It runs `search_bookmarks` across your entire archive in seconds. It doesn't matter if you used tags or collections; it finds the signal immediately.
LinkAce MCP Server helps you manage bookmarks, tags, and collections.
Manually organizing links means creating a new tag for every single topic (e.g., 'AI Ethics,' 'ML Models,' 'Transformers'). Then, when you find a related link, you have to stop what you're doing, open the bookmark manager, and apply that specific tag.
Now, your agent handles it automatically. You just send the URL and say: 'Add this to my archive and tag it as 'ML Models'.' The system runs `create_new_bookmark` and `create_new_tag` (or assigns an existing one) in a single step. It's done.
Common Questions About LinkAce MCP
How do I use the search_bookmarks tool with LinkAce MCP Server? +
You prompt your agent naturally. Just say, 'Search my links for anything related to Kubernetes.' The agent runs search_bookmarks and returns results matching the keywords.
Does create_new_bookmark require a URL? +
Yes, it requires at least a valid URL. You can't add a bookmark without knowing what page it points to.
What is the difference between list_all_collections and list_all_bookmarks? +
list_all_collections shows you the container folders (the lists). list_all_bookmarks shows you every single individual link inside all those containers.
Can I create a new tag using the agent? +
Yes. If you tell your agent to categorize something, it runs create_new_tag first if that tag doesn't exist yet.
How do I authenticate when running the `create_new_bookmark` tool? +
You must provide your LinkAce API Key as a Bearer Token. Your agent uses this token for every request, ensuring secure access to your self-hosted instance URL.
What happens if I try to use `delete_bookmark` on an ID that doesn't exist? +
The server returns a specific 404 error code. Your agent should catch this standard HTTP response and inform the user that the bookmark ID isn't found, preventing the process from failing completely.
What metadata does `get_bookmark_details` return for a link? +
It returns the full data package for that single link. You get the URL, title, description, creation date, and all associated tags or collections attached to it.
If I use `list_all_bookmarks` and have thousands of entries, how does the server handle the request? +
The API uses standard pagination. You won't get everything in one call; you must pass a page size limit or cursor to fetch the data in manageable chunks.
How do I find my LinkAce API Token? +
Log in to your LinkAce dashboard, navigate to User Settings, and generate a new API token from the API section.
What is the Instance URL? +
This is the full base URL where your LinkAce instance is hosted, for example: https://links.yourdomain.com.
Can I search for specific tags? +
While you can search for links by keyword, you can also list all tags to find the specific label IDs used for organization.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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