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Slab

Slab MCP Server

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

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AI AgentVinkius
High Security·Kill Switch·Plug and Play
Slab
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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<40msKill switch
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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)

archive_postcreate_postcreate_topicget_organizationget_post_detailsget_topic_detailslist_postslist_recent_postslist_topicslist_userssearch_postsupdate_post

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

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Slab MCP Server capabilities

12 tools
archive_post

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

create_post

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

create_topic

Create a new topic in Slab to organize posts

get_organization

Retrieve the Slab organization profile

get_post_details

Retrieve the full content and metadata of a specific Slab post

get_topic_details

Retrieve details and list of posts for a specific Slab topic

list_posts

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

list_recent_posts

List the most recently updated posts

list_topics

List all topics organizing posts in the Slab workspace

list_users

List all members of the Slab organization

search_posts

Full-text search across all Slab posts

update_post

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

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 tool.

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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