Planable MCP Server
Collaborate, approve, and manage your social media content calendar autonomously using AI.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* 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 Planable MCP Server?
The Planable MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Planable via 10 tools. Collaborate, approve, and manage your social media content calendar autonomously using AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Planable
Ask your AI agent "List all posts in the 'Acme Marketing' workspace that are currently awaiting approval." and get the answer without opening a single dashboard. With 10 tools connected to real Planable 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


















Planable MCP Server capabilities
10 toolsAdd a comment to a Planable post for team collaboration
Approve a Planable post in the approval workflow. Moves it to scheduled status
Create a Planable post. Instructions: Pass workspace_id, page_id, content text, and scheduled_at (ISO 8601). Post enters approval workflow
Get a Planable post by ID. Returns full content, media, schedule, approval history, and comments
List comments on a Planable post. Returns comment IDs, authors, and text
List social pages (connected accounts) in a Planable workspace. Returns page IDs, platform types, and display names
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 members of a Planable workspace. Returns member IDs, names, emails, and roles
List Planable workspaces. Returns workspace IDs, names, and member counts. Planable is a social collaboration platform for content planning and approval
Reject a Planable post with feedback. Returns it to draft for revisions
What the Planable MCP Server unlocks
Connect your Planable workspaces directly to your AI agent to radically streamline your social media collaboration loops. You can review scheduled posts, approve mockups, respond to team comments, and oversee the content pipeline directly from your primary interface.
What you can do
- Workspace & Pages — View active workspaces, team members, and all connected social accounts isolated in their respective boundaries.
- Content Pipeline — Retrieve post drafts, schedule future publications, and query statuses (draft, pending_approval, scheduled, published).
- Approval Workflow — Radically speed up content sign-off. Instruct your AI to transition posts from pending directly to approved, or formally reject them with custom revision notes.
- Collaboration — Add, fetch, and monitor chronological threaded comments on any isolated post.
How it works
1. Subscribe to this Planable integration
2. Inject your Planable Enterprise API Key
3. Manage your social content engine using Claude, Cursor, or any MCP client
Who is this for?
- Social Media Managers — bulk-schedule text content and respond to designer comments without opening browsers.
- Marketing Directors — quickly list all pending posts, read them out via the AI, and mass-approve the calendar.
- Community Teams — monitor scheduled outputs mapped onto federated social accounts easily.
Frequently asked questions about the Planable MCP Server
Can my AI automatically review and bulk-approve pending posts?
Yes. Instruct the agent to run list_posts filtered by 'pending_approval'. Tell your LLM to ensure they lack profanities or adhere strictly to brand tone. If they pass, you can command the AI to loop over their unique IDs mapping the approve_post mutation simultaneously, scheduling the calendar effortlessly.
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.
Will the API tell me exactly which social channel the post is meant for?
Yes! Running list_pages maps the organizational identifiers. The API correlates structural pages inside your workspace to logical federated networks (Facebook, LinkedIn, TikTok), telling your agent explicitly what bounds to consider regarding content formatting constraints.
More in this category
You might also like
Connect Planable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Give your AI agents the power of Planable MCP Server
Production-grade Planable MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






