Tencent Yuanqi MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tencent Yuanqi 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 Tencent Yuanqi. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Tencent Yuanqi?"
)
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 Tencent Yuanqi MCP Server
Connect your AI agents to Tencent Yuanqi (腾讯元器), the official intelligent agent platform powered by the Hunyuan large model. This MCP provides 9 tools for comprehensive agent management and high-performance RAG operations.
LlamaIndex agents combine Tencent Yuanqi tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Agent Interaction — Chat with published agents using persistent sessions and context tracking
- Document Lifecycle — Upload, list, and delete documents for agent knowledge bases with real-time status tracking
- Assistant Profiling — Retrieve metadata and configuration for any assistant in your workspace
- Usage Analysis — Monitor token consumption and remaining quota programmatically
The Tencent Yuanqi MCP Server exposes 9 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 Tencent Yuanqi to LlamaIndex via MCP
Follow these steps to integrate the Tencent Yuanqi 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 9 tools from Tencent Yuanqi
Why Use LlamaIndex with the Tencent Yuanqi MCP Server
LlamaIndex provides unique advantages when paired with Tencent Yuanqi through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Tencent Yuanqi tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Tencent Yuanqi tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Tencent Yuanqi, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Tencent Yuanqi tools were called, what data was returned, and how it influenced the final answer
Tencent Yuanqi + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Tencent Yuanqi MCP Server delivers measurable value.
Hybrid search: combine Tencent Yuanqi real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Tencent Yuanqi 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 Tencent Yuanqi for fresh data
Analytical workflows: chain Tencent Yuanqi queries with LlamaIndex's data connectors to build multi-source analytical reports
Tencent Yuanqi MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Tencent Yuanqi to LlamaIndex via MCP:
chat
Requires assistant_id and user_id. Chat with a Tencent Yuanqi assistant
delete_file
Delete an uploaded file
get_assistant_info
Get details about a specific assistant
get_file_info
Get metadata for a specific file
get_file_status
Check file processing status
get_usage
Check API usage and quota
list_assistants
List your own assistants
list_files
List uploaded files
upload_file
) to the Yuanqi platform for use in assistant knowledge bases. Upload a document for assistant context
Example Prompts for Tencent Yuanqi in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Tencent Yuanqi immediately.
"Chat with assistant 'assistant_123' and ask 'Explain the concept of deep learning'."
"Upload the file 'specs.pdf' to my Yuanqi account."
"List all assistants in my account."
Troubleshooting Tencent Yuanqi MCP Server with LlamaIndex
Common issues when connecting Tencent Yuanqi to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTencent Yuanqi + LlamaIndex FAQ
Common questions about integrating Tencent Yuanqi 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 Tencent Yuanqi 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 Tencent Yuanqi to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.