Planable MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"planable": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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
About Planable MCP Server
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.
Cursor's Agent mode turns Planable into an in-editor superpower. Ask Cursor to generate code using live data from Planable and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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.
The Planable MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Planable to Cursor via MCP
Follow these steps to integrate the Planable MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Planable
Open Agent mode in chat and ask: "Using Planable, help me..." — 10 tools available
Why Use Cursor with the Planable MCP Server
Cursor AI Code Editor provides unique advantages when paired with Planable through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Planable + Cursor Use Cases
Practical scenarios where Cursor combined with the Planable MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Planable MCP Tools for Cursor (10)
These 10 tools become available when you connect Planable to Cursor via MCP:
add_comment
Add a comment to a Planable post for team collaboration
approve_post
Approve a Planable post in the approval workflow. Moves it to scheduled status
create_post
Create a Planable post. Instructions: Pass workspace_id, page_id, content text, and scheduled_at (ISO 8601). Post enters approval workflow
get_post
Get a Planable post by ID. Returns full content, media, schedule, approval history, and comments
list_comments
List comments on a Planable post. Returns comment IDs, authors, and text
list_pages
List social pages (connected accounts) in a Planable workspace. Returns page IDs, platform types, and display names
list_posts
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
List members of a Planable workspace. Returns member IDs, names, emails, and roles
list_workspaces
List Planable workspaces. Returns workspace IDs, names, and member counts. Planable is a social collaboration platform for content planning and approval
reject_post
Reject a Planable post with feedback. Returns it to draft for revisions
Example Prompts for Planable in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Planable immediately.
"List all posts in the 'Acme Marketing' workspace that are currently awaiting approval."
"Draft a new Twitter post in our workspace announcing our new AI feature."
"Reject post `98341x` and tell the team to rewrite the hook, it's too salesy."
Troubleshooting Planable MCP Server with Cursor
Common issues when connecting Planable to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Planable + Cursor FAQ
Common questions about integrating Planable MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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.
Connect Planable to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.