Slab

Slab MCP Connector for Claude

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Manage your team's knowledge base — query wiki articles, create new documentation, and explore topics directly using AI agents.

12 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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
wikidocumentationknowledge-baseinternal-searchteam-collaboration

12 tools expose this connector's capabilities to your AI agent.

list_posts

Returns post IDs and titles. List all wiki posts/articles in the Slab workspace

get_post_details

Retrieve the full content and metadata of a specific Slab post

search_posts

Full-text search across all Slab posts

list_topics

List all topics organizing posts in the Slab workspace

get_topic_details

Retrieve details and list of posts for a specific Slab topic

list_users

List all members of the Slab organization

get_organization

Retrieve the Slab organization profile

create_post

Provide content in Markdown. Create a new wiki post in Slab

update_post

Update an existing Slab post title or content

create_topic

Create a new topic in Slab to organize posts

archive_post

This action is irreversible via API. Archive an existing Slab post

list_recent_posts

List the most recently updated posts

See how to talk to your AI agent using Slab.

Search the Slab wiki for 'VPN Setup Instructions'.

I found a match in your Slab knowledge base: **Post Title**: 'Connecting to the Corporate VPN (macOS & Windows)' **Post ID**: `p-1a2b3c4` **Snippet**: '...to access staging environments, you must connect via the AnyConnect Client. Use your Okta credentials...' Would you like me to retrieve the complete article so you can read the step-by-step instructions?

Create a new topic named 'Q3 Planning' and list the ID so I can save posts to it.

I've successfully created the new topic in Slab. **Name**: Q3 Planning **Topic ID**: `t-987xyzw` Your topic is ready. Whenever we draft notes or objectives in this chat, just tell me to save them into `t-987xyzw`.

List the most recent 5 posts updated in the company wiki.

Here are the 5 most recently updated Slab posts across your organization: 1. Update: Engineering Sprint 42 (Updated 10 mins ago) 2. [DRAFT] Series B Milestones (Updated 2 hours ago) 3. Employee Onboarding Guide (Updated yesterday) 4. Q2 Architecture Diagrams (Updated yesterday) 5. Security Incident Playbook (Updated Monday) Let me know if you need to read the full contents of any of these updates.

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.

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