Slab MCP, Ready to Go
Give your AI agents direct access to your Slab workspace. Let your agent search, write, and organize your company wiki documentation automatically.
No credit card required. Experience the power of this integration risk-free.
Query and manage your company wiki documentation with your agent.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Slab Connector?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Slab 12-Tool Knowledge Management Integration
Use these tools to let your agent search, create, update, and organize your Slab wiki content.
Get topic details
Get a list of all posts within a specific Slab topic. This helps the agent understand what's inside a folder.
List users
List all members of your Slab organization. This is useful for identifying team members or checking permissions.
Get organization
Retrieve the Slab organization profile. This provides context about your workspace's basic information.
Create post
Create a new wiki post using Markdown content. This allows your agent to draft and publish new documentation.
Update post
Update an existing Slab post title or content. This lets your agent keep your documentation current as requirements change.
Create topic
Create a new topic in Slab to organize posts. This helps the agent build out your wiki's folder structure.
Archive post
Archive an existing Slab post. Use this to keep your active wiki clean and organized.
List recent posts
List the most recently updated posts. This is perfect for seeing what's changed lately.
List posts
List all wiki posts in the Slab workspace. Use this to see the full scope of your documentation.
Get post details
Retrieve the full content and metadata of a specific Slab post. This lets the agent read the entire article.
Search posts
Perform a full-text search across all Slab posts. This is the primary way to find specific information quickly.
List topics
List all topics organizing posts in the Slab workspace. Use this to understand the high-level wiki structure.
A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.
You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Slab Wiki Search for Internal Knowledge Management
This is for the team that's tired of "where is that link?" messages. It's for the people who need to keep documentation accurate without the manual overhead of constant updates.
Software Engineer
Pulls API specs and architectural rules into the IDE while coding to avoid constant context switching.
Product Manager
Drafts feature requirements and release notes directly into the wiki from a chat conversation.
HR Coordinator
Fetches the latest company policies to help onboard new hires quickly without manual searching.
Frequently Asked Questions
Can the Slab MCP help my team find company policies faster? +
Yes. It allows your agent to perform full-text searches across your entire Slab workspace to find specific guidelines or protocols instantly.
Can my AI agent actually write new documentation in Slab? +
Yes, it can. Your agent can use the create_post tool to draft new articles or project specs in Markdown format directly into your wiki.
How does the Slab MCP organize my workspace? +
It can create new topics to act as folders and even archive old posts, helping your agent keep your knowledge base structured and clean.
Can I use this to see who is currently in my Slab organization? +
Yes. Your agent can list all members of your Slab organization to help you identify team members or check permissions.
Does this Connector work with my existing AI client? +
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, giving your agent a direct connection to your Slab data.
Can my agent update existing Slab posts? +
Yes. It can modify both the titles and the content of existing posts, making it easy to keep your documentation current as projects evolve.
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.
Your AI, connected to everything.
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