Can my AI automatically find the details of an assistant just by providing its ID?

Yes! Use the `get_assistant_info` tool with the Assistant ID. Your agent will respond with complete metadata, configuration, and capabilities connected to that specific agent in seconds.

How do I check the remaining token quota for my account?

Simply ask the agent to run the `get_usage` action. It will retrieve the current token consumption statistics and the remaining quota provided by the Yuanqi platform.

Can I upload multiple files for my assistant's knowledge base?

Yes! Use the `upload_file` tool for each document you want to add. After uploading, use the `list_files` tool to verify they are processed and available for RAG operations.

Tencent Yuanqi MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Tencent Yuanqi
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tencent Yuanqi through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Tencent Yuanqi "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Tencent Yuanqi?"
    )
    print(result.data)

asyncio.run(main())

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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 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.

Pydantic AI validates every Tencent Yuanqi tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Tencent Yuanqi MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Tencent Yuanqi MCP Server

Pydantic AI provides unique advantages when paired with Tencent Yuanqi through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tencent Yuanqi integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Tencent Yuanqi connection logic from agent behavior for testable, maintainable code

Tencent Yuanqi + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Tencent Yuanqi MCP Server delivers measurable value.

Type-safe data pipelines: query Tencent Yuanqi with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Tencent Yuanqi tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Tencent Yuanqi and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Tencent Yuanqi responses and write comprehensive agent tests

Tencent Yuanqi MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Tencent Yuanqi to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Tencent Yuanqi to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tencent Yuanqi + Pydantic AI FAQ

Common questions about integrating Tencent Yuanqi MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Tencent Yuanqi MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.