Yitu Technology / 依图科技 MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Yitu Technology / 依图科技 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="yitu_technology_agent",
tools=tools,
system_message=(
"You help users with Yitu Technology / 依图科技. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Yitu Technology / 依图科技 tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Yitu Technology / 依图科技 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Yitu Technology / 依图科技 automatically
Why Use AutoGen with the Yitu Technology / 依图科技 MCP Server
AutoGen provides unique advantages when paired with Yitu Technology / 依图科技 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Yitu Technology / 依图科技 tools to solve complex tasks
Role-based architecture lets you assign Yitu Technology / 依图科技 tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Yitu Technology / 依图科技 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Yitu Technology / 依图科技 tool responses in an isolated environment
Yitu Technology / 依图科技 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.
Collaborative analysis: one agent queries Yitu Technology / 依图科技 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Yitu Technology / 依图科技, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Yitu Technology / 依图科技 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Yitu Technology / 依图科技 responses in a sandboxed execution environment
Yitu Technology / 依图科技 MCP Tools for AutoGen (12)
These 12 tools become available when you connect Yitu Technology / 依图科技 to AutoGen via MCP:
add_face_to_repo
Register a face in a repository
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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Yitu Technology / 依图科技 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Yitu Technology / 依图科技 + AutoGen FAQ
Common questions about integrating Yitu Technology / 依图科技 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Yitu Technology / 依图科技 to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.