Bring Social Publishing
to Google ADK
Learn how to connect Postproxy 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 Postproxy MCP Server?
What you can do
- Automated Publishing: Create, publish, or schedule posts across various social media platforms directly via your AI Agent.
- Profile Management: List connected social profiles and group them to streamline multi-platform campaigns.
- Post Management: Retrieve, filter by status, and delete specific posts on the fly.
- Engagement Handling: Read comments, reply, like, or hide specific interactions seamlessly.
How it works
1. Connect your Postproxy account. 2. Provide your secure API token. 3. Ask your AI Agent to schedule posts, manage comments, or list your available profiles.Who is it for?
Marketing teams, social media managers, and developers looking to integrate Postproxy for AI Agents to streamline multi-channel social media campaigns and audience engagement.Built-in capabilities (11)
Reply to a comment on a post in Postproxy
Provide text, status, and the list of profile IDs to publish to. Create a new post in Postproxy
Delete a post in Postproxy
Get a specific post by ID in Postproxy
Hide a comment on a post in Postproxy
Like a comment on a post in Postproxy
List comments for a specific post in Postproxy
List posts in Postproxy
List all profile groups in Postproxy
List all social media profiles connected to Postproxy
Unhide a comment on a post in Postproxy
Why Google ADK?
Google ADK natively supports Postproxy 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 Postproxy
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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 Postproxy tools with BigQuery, Vertex AI, and Cloud Functions
Postproxy in Google ADK
Postproxy and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Postproxy 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 Postproxy in Google ADK
The Postproxy 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
Postproxy for Google ADK
Every tool call from Google ADK to the Postproxy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the AI Agent schedule posts for any future date?
Yes, as long as you provide a valid ISO date, your AI Agent can schedule posts using Postproxy.
Can I manage comments directly from the AI Agent?
Absolutely. You can list, like, reply, hide, or unhide comments across your posts seamlessly.
Does the AI Agent support grouping profiles?
Yes! The AI Agent can retrieve your Profile Groups so you can target multiple social media accounts at once.
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