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Vinkius

Planable MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Planable through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "planable": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Planable Agent",
    instructions:
      "You help users interact with Planable " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Planable?"
  );
  console.log(result.text);
}

main();
Planable
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Planable tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Planable MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Planable via MCP

Why Use Mastra AI with the Planable MCP Server

Mastra AI provides unique advantages when paired with Planable through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Planable without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Planable tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Planable + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Planable MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Planable, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Planable as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Planable on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Planable tools alongside other MCP servers

Planable MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Planable to Mastra AI via MCP:

01

add_comment

Add a comment to a Planable post for team collaboration

02

approve_post

Approve a Planable post in the approval workflow. Moves it to scheduled status

03

create_post

Create a Planable post. Instructions: Pass workspace_id, page_id, content text, and scheduled_at (ISO 8601). Post enters approval workflow

04

get_post

Get a Planable post by ID. Returns full content, media, schedule, approval history, and comments

05

list_comments

List comments on a Planable post. Returns comment IDs, authors, and text

06

list_pages

List social pages (connected accounts) in a Planable workspace. Returns page IDs, platform types, and display names

07

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

08

list_workspace_members

List members of a Planable workspace. Returns member IDs, names, emails, and roles

09

list_workspaces

List Planable workspaces. Returns workspace IDs, names, and member counts. Planable is a social collaboration platform for content planning and approval

10

reject_post

Reject a Planable post with feedback. Returns it to draft for revisions

Example Prompts for Planable in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Planable immediately.

01

"List all posts in the 'Acme Marketing' workspace that are currently awaiting approval."

02

"Draft a new Twitter post in our workspace announcing our new AI feature."

03

"Reject post `98341x` and tell the team to rewrite the hook, it's too salesy."

Troubleshooting Planable MCP Server with Mastra AI

Common issues when connecting Planable to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Planable + Mastra AI FAQ

Common questions about integrating Planable MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Planable to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.