How to Use the Curator.io MCP in Google ADK

Q: How do I initialize Curator.io with Google ADK?

Install google-adk and create an McpToolset using StreamableHttpServerParameters(url="..."). Pass this MCP toolset to your LlmAgent initialization.

Q: Can Google ADK filter the Curator.io tools it exposes?

Yes. You can provide an optional toolnames list when configuring the toolset. This restricts the agent to specific operations like getfeedpostcount.

Q: Does Curator.io work with Gemini's long context?

Perfectly. You can pull massive amounts of data using listfeedposts and feed it directly into the agent. Gemini processes the entire batch of social content in one go.

Feed Curator.io social data directly into your Google ADK agents for deep analysis with Gemini's massive context window.

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Connect Curator.io MCP to Google ADK

Create your Vinkius account to connect Curator.io to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Curator.io with Google ADK

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Analyze massive feeds with Google ADK

The `list_feed_posts` tool feeds raw social media content straight into Gemini's million-token context window. Your Google ADK agent can ingest thousands of aggregated posts at once to identify emerging trends across all your active campaigns. Instead of chunking data, you dump the entire output of `list_active_feeds` into the prompt. The agent cross-references this live social data with your internal metrics stored in BigQuery.

Query social streams via MCP

Executing `search_posts_in_feed` allows your agent to pinpoint exact customer complaints or brand mentions within a specific social stream. Gemini reasons over these results to classify sentiment without needing a separate NLP pipeline. You restrict the agent's focus by passing a `tool_names` filter to the `McpToolset`. This guarantees the agent only searches posts rather than wasting tokens querying `list_feed_sources` or account settings.

Audit moderation logic globally

Running `list_moderation_rules` extracts all your keyword filters and exclusion patterns from the Curator.io API. Your agent maps these rules against historical violations stored in Vertex AI to find gaps in your moderation strategy. Checking `get_feed_details` confirms whether your current design configurations match your brand guidelines. The agent pulls the metadata and flags any feeds that deviate from your standard setup.

Setup guide

Set up Curator.io MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Curator.io tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Curator.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Curator.io tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Curator.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Curator.io MCP in Google ADK

Install `google-adk` and create an `McpToolset` using `StreamableHttpServerParameters(url="...")`. Pass this MCP toolset to your `LlmAgent` initialization.

Yes. You can provide an optional `tool_names` list when configuring the toolset. This restricts the agent to specific operations like `get_feed_post_count`.

Perfectly. You can pull massive amounts of data using `list_feed_posts` and feed it directly into the agent. Gemini processes the entire batch of social content in one go.

Your agent handles the orchestration. It pulls social metrics via the MCP Server and writes the results directly to your BigQuery tables for further analysis.

Authentication happens entirely at the Vinkius gateway. Your agent accesses feed configurations and moderation rules through a single MCP Server endpoint token, meaning no raw API keys ever touch your Vertex AI environment.

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