Yitu Technology / 依图科技 MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Yitu Technology / 依图科技 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Yitu Technology / 依图科技. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Yitu Technology / 依图科技?"
)
print(response)
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.
LlamaIndex agents combine Yitu Technology / 依图科技 tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Yitu Technology / 依图科技 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Yitu Technology / 依图科技
Why Use LlamaIndex with the Yitu Technology / 依图科技 MCP Server
LlamaIndex provides unique advantages when paired with Yitu Technology / 依图科技 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Yitu Technology / 依图科技 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Yitu Technology / 依图科技 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Yitu Technology / 依图科技, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Yitu Technology / 依图科技 tools were called, what data was returned, and how it influenced the final answer
Yitu Technology / 依图科技 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.
Hybrid search: combine Yitu Technology / 依图科技 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Yitu Technology / 依图科技 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Yitu Technology / 依图科技 for fresh data
Analytical workflows: chain Yitu Technology / 依图科技 queries with LlamaIndex's data connectors to build multi-source analytical reports
Yitu Technology / 依图科技 MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Yitu Technology / 依图科技 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Yitu Technology / 依图科技 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpYitu Technology / 依图科技 + LlamaIndex FAQ
Common questions about integrating Yitu Technology / 依图科技 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Yitu Technology / 依图科技 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Yitu Technology / 依图科技 to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.