Bring Social Media Scheduling
to Google ADK
Learn how to connect Planly to Google ADK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Planly API Key (Bearer Token) from your security settings
3. Start managing your social media automation from Claude, Cursor, or any MCP-compatible client
No more manual logging into dashboards to check post status. Your AI acts as a dedicated social media manager or content coordinator.
Who is this for?
- Social Media Managers — quickly retrieve channel summaries and monitor schedule health without switching apps.
- Marketing Teams — automate the scheduling of cross-platform campaigns and track media assets via natural conversation.
- Developers — integrate real-time social scheduling data and media management directly within the chat.
Built-in capabilities (11)
Generate post content using AI
Create a post draft
Create a new scheduled post
Delete a scheduled post
Finalize a media upload
Get details for a specific scheduled post
Get analytics for a social media channel
List connected social media channels
List all scheduled posts
List all teams
Initiate a media upload
Why Google ADK?
Google ADK natively supports Planly as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Planly
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Planly tools with BigQuery, Vertex AI, and Cloud Functions
Planly in Google ADK
Planly and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Planly to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Planly in Google ADK
The Planly 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK 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, zero maintenance.

* 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
How Vinkius secures
Planly for Google ADK
Every tool call from Google ADK to the Planly MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the scheduled posts for the next 7 days?
Yes! Use the list_schedules tool. Your agent will respond with complete metadata for all upcoming posts, including channel names, scheduled times, and content previews in seconds.
How do I find my Planly API Key?
Log in to your Planly account, navigate to Settings > Security, and you will find your unique secret API key (Bearer Token) there.
Can I use the AI to generate captions?
Absolutely. Use the ai_complete tool. Provide your prompt or post idea, and the agent will utilize Planly's integrated AI to return professional copy options.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
