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

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Claude Code is Anthropic's agentic CLI for terminal-first development. Add Baidu Qianfan as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Baidu Qianfan and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add baidu-qianfan --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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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.

Claude Code registers Baidu Qianfan as an MCP server in a single terminal command. Once connected, Claude Code discovers all 6 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Baidu Qianfan data drives decisions without human intervention.

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 Claude Code 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 Claude Code via MCP

Follow these steps to integrate the Baidu Qianfan MCP Server with Claude Code.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using Baidu Qianfan

Ask Claude: "Using Baidu Qianfan, show me...". 6 tools are ready

Why Use Claude Code with the Baidu Qianfan MCP Server

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

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using Baidu Qianfan tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

Baidu Qianfan + Claude Code Use Cases

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

01

CI/CD integration: embed Baidu Qianfan tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query Baidu Qianfan nightly and generate reports without human intervention

03

Shell scripting: pipe Baidu Qianfan outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query Baidu Qianfan status endpoints and alert on anomalies

Baidu Qianfan MCP Tools for Claude Code (6)

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

01

chat_completions

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

02

get_embeddings

Generate vector embeddings for text

03

list_datasets

List uploaded datasets

04

list_models

List available model services

05

list_train_jobs

List model training jobs

06

text_to_image

Generate an image from a text prompt

Example Prompts for Baidu Qianfan in Claude Code

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

01

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

02

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

03

"List all my prompt templates in Qianfan."

Troubleshooting Baidu Qianfan MCP Server with Claude Code

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

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

Baidu Qianfan + Claude Code FAQ

Common questions about integrating Baidu Qianfan MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect Baidu Qianfan to Claude Code

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.