How do I find my Yitu AppID and APIKey?

Log in to the [Yitu Cloud Platform](https://www.yitutech.com/), navigate to the 'Developer Center' or 'API Management' section to find your unique AppID (DevId) and APIKey (DevKey).

What is a facial repository?

A facial repository is a secure, private database where you store facial features (templates) of known individuals. This allows the system to perform 1:N searches to identify a person from a large group.

How accurate is the identity comparison?

Yitu is a world leader in facial recognition accuracy. The system returns a confidence score (typically 0.0 to 1.0). A score above 0.8 is generally considered a highly reliable match for the same person.

Yitu Technology / 依图科技 MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Yitu Technology / 依图科技
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Yitu Technology / 依图科技 through Vinkius, pass the Edge URL in the `mcps` parameter and every Yitu Technology / 依图科技 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Yitu Technology / 依图科技 Specialist",
    goal="Help users interact with Yitu Technology / 依图科技 effectively",
    backstory=(
        "You are an expert at leveraging Yitu Technology / 依图科技 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Yitu Technology / 依图科技 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 Yitu Technology / 依图科技 MCP Server

Empower your AI agent to orchestrate your enterprise-grade visual intelligence and facial recognition workflows with Yitu Technology (依图科技), a world-class provider of computer vision solutions. By connecting Yitu to your agent, you transform complex facial matching, identity search, and repository management into a natural conversation. Your agent can instantly detect faces in images, verify identities through high-precision comparison, manage custom facial repositories, and index new identities without you ever needing to navigate complex technical dashboards. Whether you are building an automated security checkpoint or managing a high-volume digital identity archive, your agent acts as a real-time computer vision coordinator, providing accurate results from a single, authorized source.

When paired with CrewAI, Yitu Technology / 依图科技 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Yitu Technology / 依图科技 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Facial Orchestration — Detect faces and extract precise locations and attributes from image URLs.
Identity Verification — Perform high-precision 1:1 face comparison to verify if two images belong to the same person.
Library Search — Search for matching identities within your private facial repositories (1:N recognition).
Repository Management — Create, list, and monitor metadata for your facial data repositories.
Identity Indexing — Register new faces and associate them with unique person identifiers for future search.

The Yitu Technology / 依图科技 MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI 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 Yitu Technology / 依图科技 to CrewAI via MCP

Follow these steps to integrate the Yitu Technology / 依图科技 MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Yitu Technology / 依图科技

Why Use CrewAI with the Yitu Technology / 依图科技 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Yitu Technology / 依图科技 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Yitu Technology / 依图科技 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Yitu Technology / 依图科技 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Yitu Technology / 依图科技, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Yitu Technology / 依图科技 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Yitu Technology / 依图科技 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Yitu Technology / 依图科技 MCP Tools for CrewAI (12)

These 12 tools become available when you connect Yitu Technology / 依图科技 to CrewAI via MCP:

add_face_to_repo

compare_faces

Verify if two faces match (1:1)

create_face_repo

Create a new facial repository

delete_face_repo

Delete a facial repository

detect_active_liveness

Returns per-action pass/fail. Active liveness detection with action verification

detect_face

Detect faces in an image

detect_silent_liveness

Detects photos, screens, and 3D masks. Silent liveness detection (anti-spoofing)

list_repos

List all facial repositories

moderate_image

Content moderation for images

ocr_id_card

Extract text from an ID card image

remove_face_from_repo

Remove a face from a repository

search_face_in_repo

Returns top matches with confidence. Search for a face in a repository (1:N)

Example Prompts for Yitu Technology / 依图科技 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Yitu Technology / 依图科技 immediately.

"Detect faces in this URL: [URL] and tell me how many people are there."

"Search for this face: [URL] in repository 'REPO_8821'."

"List all facial repositories in my Yitu project."

Troubleshooting Yitu Technology / 依图科技 MCP Server with CrewAI

Common issues when connecting Yitu Technology / 依图科技 to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Yitu Technology / 依图科技 + CrewAI FAQ

Common questions about integrating Yitu Technology / 依图科技 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.