Compatible with every major AI agent and IDE
Add comment on Planable
Add a comment to a Planable post for team collaboration
Approve post on Planable
Approve a Planable post in the approval workflow. Moves it to scheduled status
Create post on Planable
Create a Planable post. Instructions: Pass workspace_id, page_id, content text, and scheduled_at (ISO 8601). Post enters approval workflow
Get post on Planable
Get a Planable post by ID. Returns full content, media, schedule, approval history, and comments
List comments on Planable
List comments on a Planable post. Returns comment IDs, authors, and text
List pages on Planable
List social pages (connected accounts) in a Planable workspace. Returns page IDs, platform types, and display names
List posts on Planable
List posts in a Planable workspace by status. Returns post IDs, content previews, scheduled times, and approval status. Instructions: status = draft|pending_approval|approved|scheduled|published
List workspace members on Planable
List members of a Planable workspace. Returns member IDs, names, emails, and roles
List workspaces on Planable
List Planable workspaces. Returns workspace IDs, names, and member counts. Planable is a social collaboration platform for content planning and approval
Reject post on Planable
Reject a Planable post with feedback. Returns it to draft for revisions
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I leave comments for the rest of my design team through this?
Absolutely. Using the reject_post functionality or directly targeting add_comment on a specific Post ID, the agent injects your exact critique ("Make the background logo larger") back into the underlying Planable portal in real-time. Your team sees your notes just as if you were logged onto their board.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Planable Capabilities for AI Assistants
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Planable MCP server to manage operations across the following domains.
Claude Code Integration for content calendar
The Planable MCP manages API routing for content calendar. This enables AI agents like Claude Code to execute structured collaboration queries.
ChatGPT social media management Automation
Use Planable to manage social media management via conversational interfaces. The integration centralizes access control for collaboration operations performed by ChatGPT.
Planable. 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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