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How to Use the Endorsal Testimonials MCP in Google ADK

Feed customer feedback directly into Gemini. This MCP Server lets Google ADK agents read testimonials and approve reviews at scale.

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Google ADK

Connect Endorsal Testimonials MCP to Google ADK

Create your Vinkius account to connect Endorsal Testimonials 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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Analyze feedback with Google ADK

This MCP server feeds your entire review history directly into Gemini. Pull your backlog using `list_all_testimonials` and let the model find the patterns you missed. The model digests thousands of reviews at once. It runs `get_testimonial_details` on outliers and cross-references the sentiment against your BigQuery sales data.

Manage multi-brand properties

The server lets your agent map multi-brand infrastructure instantly. Your agent executes `list_account_properties` to see every connected brand under your corporate umbrella. From there, it maps the front-end assets. Calling `list_display_widgets` reveals exactly which badges and carousels sit on which domains.

Clear the moderation backlog

You clear the moderation bottleneck by letting the server handle pending reviews. The agent queries `list_pending_testimonials` to find fresh submissions waiting for a human. Gemini evaluates the text for spam or policy violations. If the content passes, the agent triggers `approve_pending_testimonial` to push the social proof live immediately.

Setup guide

Set up Endorsal Testimonials 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Endorsal Testimonials 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="Endorsal Testimonials_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Endorsal Testimonials tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Endorsal Testimonials. 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 Endorsal Testimonials MCP in Google ADK

Install `google-adk`. Create a `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL, then pass it to the `LlmAgent` tools array.
Yes. Use the `tool_names` filter in Google ADK to expose only specific endpoints. You might allow `search_testimonials_by_keyword` while hiding the approval tools.
Gemini handles a massive token context window. You dump the entire output of `quick_social_proof_audit` into the prompt, and the agent reasons across your entire review history instantly.
The agent runs `list_latest_testimonials`. You set up a scheduled job in Google Cloud to fetch these and summarize the sentiment every morning.
The server touches customer email addresses, profile photos, and review bodies. Vinkius enforces a zero-trust architecture where every session requires a fresh endpoint token, preventing unauthorized access to your account metadata.

Start using the Endorsal Testimonials MCP today

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Built & Managed by Vinkius 30s setup 10 tools

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