How do I find my Face++ API Key and Secret?

Log in to the [Face++ Console](https://console.faceplusplus.com.cn/), go to [Dashboard] -> [API Key], and you will find your unique Key and Secret there. Ensure you have the necessary permissions enabled.

Can I analyze images from a local file?

This server currently supports analysis via `image_url`. To use local files, you should upload them to a public or private storage and provide the resulting URL to the tools.

What attributes can be returned during face detection?

Common attributes include gender, age, emotion, head pose, smile, face quality, and skin status. You can specify these in the `return_attributes` parameter of the `detect_face` tool.

Face++ / Megvii MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Face++ / Megvii
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Face++ / Megvii as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="face_megvii_agent",
    instruction=(
        "You help users interact with Face++ / Megvii "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Face++ / Megvii MCP Server

Empower your AI agent to orchestrate your computer vision operations with Face++ (Megvii), the dominant facial recognition platform in China. By connecting Face++ to your agent, you transform complex image analysis and identity verification into a natural conversation. Your agent can instantly detect faces, compare similarities between photos, search within face databases (FaceSets), and analyze human body skeletons or gestures without you ever needing to navigate the comprehensive web console. Whether you are conducting KYC audits or monitoring visual content, your agent acts as a real-time vision intelligence assistant, providing accurate and fast results from a single, unified source.

Google ADK natively supports Face++ / Megvii as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Face Orchestration — Detect faces in images and retrieve detailed attributes like age, gender, and emotion.
Identity Verification — Compare two images to calculate confidence that they belong to the same person.
FaceSet Management — Create and manage searchable face databases for large-scale matching.
Body & Skeleton Analysis — Detect human bodies and skeletons to analyze posture and movement.
Gesture Recognition — Identify specific hand gestures from image data.

The Face++ / Megvii MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Face++ / Megvii to Google ADK via MCP

Follow these steps to integrate the Face++ / Megvii MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Face++ / Megvii via MCP

Why Use Google ADK with the Face++ / Megvii MCP Server

Google ADK provides unique advantages when paired with Face++ / Megvii through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Face++ / Megvii

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Face++ / Megvii tools with BigQuery, Vertex AI, and Cloud Functions

Face++ / Megvii + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Face++ / Megvii MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Face++ / Megvii and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Face++ / Megvii tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Face++ / Megvii regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Face++ / Megvii

Face++ / Megvii MCP Tools for Google ADK (10)

These 10 tools become available when you connect Face++ / Megvii to Google ADK via MCP:

add_face_to_faceset

Add faces to a FaceSet

compare_faces

Compare two faces for similarity

create_faceset

Create a new FaceSet

detect_body

Detect human bodies in an image

detect_face

Detect faces in an image

gesture_detect

Detect hand gestures

get_faceset_detail

Get details of a FaceSet

remove_face_from_faceset

Remove faces from a FaceSet

search_face

Search for a face in a FaceSet

skeleton_detect

Detect human skeletons

Example Prompts for Face++ / Megvii in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Face++ / Megvii immediately.

"Detect faces in this image URL: [URL]."

"Compare these two images to see if they are the same person: [URL1] and [URL2]."

"Check for any human body detected in this photo: [URL]."

Troubleshooting Face++ / Megvii MCP Server with Google ADK

Common issues when connecting Face++ / Megvii to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Face++ / Megvii + Google ADK FAQ

Common questions about integrating Face++ / Megvii MCP Server with Google ADK.

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.