Integrate Slab with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiArchive post on Slab
This action is irreversible via API. Archive an existing Slab post
Create post on Slab
Provide content in Markdown. Create a new wiki post in Slab
Create topic on Slab
Create a new topic in Slab to organize posts
Get organization on Slab
Retrieve the Slab organization profile
Get post details on Slab
Retrieve the full content and metadata of a specific Slab post
Get topic details on Slab
Retrieve details and list of posts for a specific Slab topic
List posts on Slab
Returns post IDs and titles. List all wiki posts/articles in the Slab workspace
List recent posts on Slab
List the most recently updated posts
List topics on Slab
List all topics organizing posts in the Slab workspace
List users on Slab
List all members of the Slab organization
Search posts on Slab
Full-text search across all Slab posts
Update post on Slab
Update an existing Slab post title or content
Security & Code Integrity Audit
Every tool in the Slab MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can my agent clean up outdated company documentation?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 The agent can execute the archive_post command to hide outdated information and keep your knowledge base pristine.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Supported Use Cases for Slab
Integrate Slab to provide your custom AI agents with direct read and write access to the capabilities listed below.
Mastering wiki with Agents
The Slab server exposes documented endpoints for wiki. This allows ChatGPT and Cursor to interact with knowledge management APIs seamlessly.
Next-Gen documentation Automation
Use the Slab MCP to manage documentation requests. Models like Claude Code utilize this connection to perform reliable knowledge management updates.
Slab. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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