3,400+ MCP servers ready to use
Vinkius

Planly MCP Server for VS Code CopilotGive VS Code Copilot instant access to 11 tools to Ai Generate Content, Create Draft, Create Schedule, and more

Built by Vinkius GDPR 11 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The Planly app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Planly and 3,400+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "planly": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Planly
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 Planly MCP Server

Connect your Planly account to any AI agent and take full control of your social media orchestration and content scheduling through natural conversation. Planly is a comprehensive social media management tool, and this integration allows you to retrieve channel metadata, schedule posts in bulk, and manage media libraries directly from your chat interface.

GitHub Copilot Agent mode brings Planly data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Channel & Team Orchestration — List all connected social channels and retrieve detailed team metadata programmatically to ensure your social presence is always synchronized.
  • Content Scheduling Intelligence — Create and manage post schedules and groups directly from the AI interface to track engagement timings and multi-channel delivery.
  • Media Library Control — Start and finish media uploads (images and videos) via natural language to maintain a high-fidelity content repository.
  • AI Assistant Integration — Utilize Planly's internal AI capabilities to complete content ideas and generate captions using simple AI commands.
  • Operational Monitoring — Track schedule statuses and manage system metadata to ensure your social media workflows are always optimized.

The Planly MCP Server exposes 11 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Planly tools available for VS Code Copilot

When VS Code Copilot connects to Planly through Vinkius, your AI agent gets direct access to every tool listed below — spanning social-media-scheduling, content-calendar, auto-publishing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

ai_generate_content

Generate post content using AI

create_draft

Create a post draft

create_schedule

Create a new scheduled post

delete_schedule

Delete a scheduled post

finish_media_upload

Finalize a media upload

get_schedule

Get details for a specific scheduled post

list_analytics

Get analytics for a social media channel

list_channels

List connected social media channels

list_schedules

List all scheduled posts

list_teams

List all teams

start_media_upload

Initiate a media upload

Connect Planly to VS Code Copilot via MCP

Follow these steps to wire Planly into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Planly

Ask Copilot: "Using Planly, help me...". 11 tools available

Why Use VS Code Copilot with the Planly MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Planly through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Planly + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Planly MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Planly in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Planly immediately.

01

"List all active social channels in Planly."

02

"Show me all posts scheduled for the next 7 days across all my social media channels."

03

"Schedule a new Instagram carousel post for Thursday at 10 AM with AI-generated caption."

Troubleshooting Planly MCP Server with VS Code Copilot

Common issues when connecting Planly to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Planly + VS Code Copilot FAQ

Common questions about integrating Planly MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.