Use Slab with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage your team's knowledge base. query wiki articles, create new documentation, and explore topics directly using AI agents.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 12 capabilities
The complete Slab capability set.
These are the exact actions your AI can choose when you ask it to work with Slab.
01-04
4 capabilities in this set.
Part of 12 available through Slab.
- 01
List posts
Returns post IDs and titles. List all wiki posts/articles in the Slab workspace
- 02
Create post
Provide content in Markdown. Create a new wiki post in Slab
- 03
Create topic
Create a new topic in Slab to organize posts
- 04
Get post details
Retrieve the full content and metadata of a specific Slab post
05-08
4 capabilities in this set.
Part of 12 available through Slab.
- 05
List recent posts
List the most recently updated posts
- 06
List topics
List all topics organizing posts in the Slab workspace
- 07
List users
List all members of the Slab organization
- 08
Search posts
Full-text search across all Slab posts
09-12
4 capabilities in this set.
Part of 12 available through Slab.
- 09
Update post
Update an existing Slab post title or content
- 10
Archive post
This action is irreversible via API. Archive an existing Slab post
- 11
Get organization
Retrieve the Slab organization profile
- 12
Get topic details
Retrieve details and list of posts for a specific Slab topic
Observed, not estimated
798ms average. Fast in production.
Slab is checked daily against the live service.
- Fastest day
- 747ms
- Slowest day
- 1054ms
- 14-day trend
- Slowing+5%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Slab, so you can see the experience inside your AI.
It does not authenticate your account with Slab. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Slab Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_IfZmivQXV8XLoMGDXYhcVahnahQo9NcBqGlkU0Ik/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Slab capabilities are ready to use.
{
"mcpServers": {
"slab-mcp": {
"url": "https://edge.vinkius.com/vk_preview_IfZmivQXV8XLoMGDXYhcVahnahQo9NcBqGlkU0Ik/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Slab owners ask.
- 01
Can my AI use existing wiki guidelines to write new code or copy?
Absolutely. You can request your agent to 'search the Slab wiki for our Frontend Coding Standards' or 'find our Brand Voice Guidelines'. The agent will retrieve the exact Markdown content of those articles and use them as system instructions for the rest of your conversation.
- 02
How do I easily publish my AI chat output back to Slab?
When your AI agent generates a good technical specification or summary, simply tell it: 'Create a new post in Slab called [Name], using this entire response as the content, and place it in the Engineering topic.' The agent will format the Markdown and publish it immediately through the create_post capability.
- 03
Can my agent clean up outdated company documentation?
Yes. If an article is deprecated, you can tell your AI: 'Archive the post with ID XYZ' or 'Find the old setup guide and archive it.' The agent can execute the archive_post command to hide outdated information and keep your knowledge base pristine.
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