Which version of Ernie Bot should I use for chat?

For high performance and reasoning, use `ernie-4.0-8k`. For faster response times and cost efficiency, `ernie-speed-128k` or `ernie-lite-8k` are excellent choices.

Can I automatically generate embeddings for RAG?

Yes! Use the `get_embeddings` tool with your text input. The agent will retrieve the vector representations from Baidu's embedding models, ready for indexing in your vector database.

How do I use prompt templates from the console?

Use the `list_prompt_templates` tool to find your configured templates. You can then retrieve specific details using `get_prompt_template` to maintain consistency across your AI workflows.

Baidu Qianfan MCP Server for AutoGen 6 tools — connect in under 2 minutes

Name: Baidu Qianfan
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Baidu Qianfan as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 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="baidu_qianfan_agent",
            tools=tools,
            system_message=(
                "You help users with Baidu Qianfan. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Baidu Qianfan MCP Server

Connect your AI agents to Baidu Qianfan (百度千帆), the enterprise-grade LLM platform. This MCP provides 10 tools to automate interactions with Ernie Bot and other foundation models, including chat completions, vector embeddings, and prompt engineering.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Baidu Qianfan tools. Connect 6 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

Model Interaction — Trigger chat completions with Ernie Bot (Turbo/Speed/4.0) using persistent context
Vector Embeddings — Generate semantic embeddings for text to power RAG and search workflows
Prompt Engineering — Manage and retrieve centralized prompt templates for consistent model outputs
Image Generation — Trigger Text-to-Image tasks using Baidu's advanced diffusion models
Usage Monitoring — Track token consumption and manage model service status programmatically

The Baidu Qianfan MCP Server exposes 6 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 Baidu Qianfan to AutoGen via MCP

Follow these steps to integrate the Baidu Qianfan 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 6 tools from Baidu Qianfan automatically

Why Use AutoGen with the Baidu Qianfan MCP Server

AutoGen provides unique advantages when paired with Baidu Qianfan through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Baidu Qianfan tools to solve complex tasks

Role-based architecture lets you assign Baidu Qianfan 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 Baidu Qianfan tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Baidu Qianfan tool responses in an isolated environment

Baidu Qianfan + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Baidu Qianfan MCP Server delivers measurable value.

Collaborative analysis: one agent queries Baidu Qianfan while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Baidu Qianfan, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Baidu Qianfan data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Baidu Qianfan responses in a sandboxed execution environment

Baidu Qianfan MCP Tools for AutoGen (6)

These 6 tools become available when you connect Baidu Qianfan to AutoGen via MCP:

chat_completions

Requires model endpoint name. Send a message to a Baidu Qianfan model

get_embeddings

Generate vector embeddings for text

list_datasets

List uploaded datasets

list_models

List available model services

list_train_jobs

List model training jobs

text_to_image

Generate an image from a text prompt

Example Prompts for Baidu Qianfan in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Baidu Qianfan immediately.

"Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'."

"Generate embeddings for the text 'The quick brown fox jumps over the lazy dog'."

"List all my prompt templates in Qianfan."

Troubleshooting Baidu Qianfan MCP Server with AutoGen

Common issues when connecting Baidu Qianfan to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Baidu Qianfan + AutoGen FAQ

Common questions about integrating Baidu Qianfan MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Baidu Qianfan tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.