How to Use the Nicereply MCP in Google ADK

Q: How do I restrict which Nicereply tools are exposed to the Google ADK?

Use the toolnames filter when initializing your toolset. This lets you restrict the Gemini agent to specific tools like getsurveystats while hiding administrative tools.

Q: Does the Nicereply MCP Server support BigQuery integration via the Google ADK?

Yes. Your agent can fetch raw survey metrics using getsurvey and immediately write those structured payloads into your BigQuery tables using native Google Cloud tools.

Feed Nicereply satisfaction scores directly to Gemini long-context reasoning pipelines using the Google ADK.

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Connect Nicereply MCP to Google ADK

Create your Vinkius account to connect Nicereply 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 Nicereply with Google ADK

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Enterprise Customer Analysis with Google ADK

Combine Gemini's massive context window with raw satisfaction data pulled from `list_responses`. The Google ADK lets your enterprise agents ingest thousands of feedback records in a single call to spot long-term support trends. You can write custom pipelines that cross-reference these survey scores with your internal customer databases in BigQuery. The agent uses `get_customer` to map external IDs back to your warehouse records.

Connect Gemini directly to the Nicereply MCP Server

Expose specific tools like `get_survey_stats` and `list_surveys` to your Gemini models using the SDK's transport parameters. You can filter the toolset to ensure the model only accesses the data it actually needs for the task. The agent queries the server over secure HTTP, pulling real-time metrics into its reasoning loop. This lets the model evaluate agent performance without manual data exports or spreadsheet uploads.

Agent Attribution at Scale

Map raw feedback to your actual support team by querying `list_users` alongside your customer satisfaction ratings. The agent can match specific ratings from `get_response` to the team members who solved the tickets. Use `get_rating_values` to standardize scores across different platforms before sending the normalized data back to your Vertex AI pipeline for training or analysis.

Setup guide

Set up Nicereply 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 Nicereply 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="Nicereply_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nicereply 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 Nicereply. 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 Nicereply MCP in Google ADK

Use the tool_names filter when initializing your toolset. This lets you restrict the Gemini agent to specific tools like `get_survey_stats` while hiding administrative tools.

Absolutely. Gemini's million-token context window allows the agent to ingest thousands of rows from `list_responses` in a single prompt to identify systemic support issues.

Yes. Your agent can fetch raw survey metrics using `get_survey` and immediately write those structured payloads into your BigQuery tables using native Google Cloud tools.

Pass your Vinkius HTTP endpoint to the streamable server parameters. The SDK handles the connection, allowing your agent to call `list_customers` instantly.

All customer survey responses and agent emails remain inside your Google Cloud boundary. Vinkius executes the server in a zero-trust sandbox, routing data directly to your Gemini instance without storing it.

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