Slab MCP Server
Manage your team's knowledge base — query wiki articles, create new documentation, and explore topics directly using AI agents.
Ask AI about this MCP Server
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What is the Slab MCP Server?
The Slab MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Slab via 12 tools. Manage your team's knowledge base — query wiki articles, create new documentation, and explore topics directly using AI agents. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Slab
Ask your AI agent "Search the Slab wiki for 'VPN Setup Instructions'." and get the answer without opening a single dashboard. With 12 tools connected to real Slab data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents 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 and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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Slab MCP Server capabilities
12 toolsThis action is irreversible via API. Archive an existing Slab post
Provide content in Markdown. Create a new wiki post in Slab
Create a new topic in Slab to organize posts
Retrieve the Slab organization profile
Retrieve the full content and metadata of a specific Slab post
Retrieve details and list of posts for a specific Slab topic
Returns post IDs and titles. List all wiki posts/articles in the Slab workspace
List the most recently updated posts
List all topics organizing posts in the Slab workspace
List all members of the Slab organization
Full-text search across all Slab posts
Update an existing Slab post title or content
What the Slab MCP Server unlocks
Connect your Slab workspace to any AI agent and empower your team to search, read, and write documentation seamlessly. Interact with your organization's entire knowledge base through natural language without ever switching tabs.
What you can do
- Deep Search & Retrieval — Execute full-text searches across all Slab posts to fetch answers, guidelines, and protocols instantly
- Documentation Authoring — Create new articles, meeting notes, or project specs in Markdown, and update existing posts on the fly
- Information Architecture — Browse all your topics (folders) to understand how the company wiki is structured and fetch categorized articles
- Activity Feeds — Pull the most recently updated posts to stay on top of new company policies and documentation changes
- Team Discovery — Retrieve organization metadata and list all registered team members
How it works
1. Subscribe to this server
2. Enter your Slab Access Token
3. Start using Claude, Cursor, or any MCP-compatible client to query your company's collective brain
Stop interrupting engineers to ask where a specific document lives. Your AI agent can read the internal wiki and answer questions directly based on your approved Slab content.
Who is this for?
- Software Developers — pull API documentation or architectural guidelines directly into your IDE while coding
- Product Managers — instantly draft and publish feature specifications or release notes to the right Slab topic
- Onboarding & HR — ask your assistant to fetch the latest company policies or generate reading lists for new hires
Frequently asked questions about the Slab MCP Server
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.
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 tool.
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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Give your AI agents the power of Slab MCP Server
Production-grade Slab MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






