iFLYTEK Open Platform / 讯飞开放平台 MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect iFLYTEK Open Platform / 讯飞开放平台 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"iflytek-open-platform": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using iFLYTEK Open Platform / 讯飞开放平台, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 iFLYTEK Open Platform / 讯飞开放平台 MCP Server
Empower your AI agent to orchestrate your voice and natural language operations with iFLYTEK, the premier speech intelligence platform in China. By connecting iFLYTEK to your agent, you transform complex audio transcription, voice synthesis, and linguistic analysis into a natural conversation. Your agent can instantly convert text to speech, transcribe audio files, translate between languages, and extract key insights from text (sentiment, keywords, entities) without you ever needing to navigate the comprehensive web console. Whether you are building an automated customer service line or auditing textual content, your agent acts as a real-time linguistic assistant, providing accurate and reliable results from a single, unified source.
LangChain's ecosystem of 500+ components combines seamlessly with iFLYTEK Open Platform / 讯飞开放平台 through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Voice Synthesis — Convert text strings into high-quality speech audio with customizable voice models.
- Audio Transcription — Transcribe spoken words from audio files or real-time streams into accurate text.
- Machine Translation — Translate text between multiple languages using industry-leading ML models.
- NLP Intelligence — Extract keywords, identify entities, and analyze the emotional sentiment of any text.
- Content Auditing — Generate concise summaries of long documents and recognize text from images (OCR).
The iFLYTEK Open Platform / 讯飞开放平台 MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 iFLYTEK Open Platform / 讯飞开放平台 to LangChain via MCP
Follow these steps to integrate the iFLYTEK Open Platform / 讯飞开放平台 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from iFLYTEK Open Platform / 讯飞开放平台 via MCP
Why Use LangChain with the iFLYTEK Open Platform / 讯飞开放平台 MCP Server
LangChain provides unique advantages when paired with iFLYTEK Open Platform / 讯飞开放平台 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine iFLYTEK Open Platform / 讯飞开放平台 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across iFLYTEK Open Platform / 讯飞开放平台 queries for multi-turn workflows
iFLYTEK Open Platform / 讯飞开放平台 + LangChain Use Cases
Practical scenarios where LangChain combined with the iFLYTEK Open Platform / 讯飞开放平台 MCP Server delivers measurable value.
RAG with live data: combine iFLYTEK Open Platform / 讯飞开放平台 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query iFLYTEK Open Platform / 讯飞开放平台, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain iFLYTEK Open Platform / 讯飞开放平台 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every iFLYTEK Open Platform / 讯飞开放平台 tool call, measure latency, and optimize your agent's performance
iFLYTEK Open Platform / 讯飞开放平台 MCP Tools for LangChain (8)
These 8 tools become available when you connect iFLYTEK Open Platform / 讯飞开放平台 to LangChain via MCP:
entity_recognition
Named Entity Recognition (NER)
keyword_extraction
Extract keywords from text
ocr_general
General OCR text recognition
speech_to_text
Transcribe audio to text
summary_generation
Generate text summary
text_sentiment
Analyze text sentiment
text_to_speech
Convert text to speech audio
translate
Translate text between languages
Example Prompts for iFLYTEK Open Platform / 讯飞开放平台 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with iFLYTEK Open Platform / 讯飞开放平台 immediately.
"Convert this text to speech: 'Hello, welcome to the world of AI!'."
"Translate 'Artificial Intelligence' from English to Chinese."
"Summarize this long text about future tech trends: [Text]."
Troubleshooting iFLYTEK Open Platform / 讯飞开放平台 MCP Server with LangChain
Common issues when connecting iFLYTEK Open Platform / 讯飞开放平台 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersiFLYTEK Open Platform / 讯飞开放平台 + LangChain FAQ
Common questions about integrating iFLYTEK Open Platform / 讯飞开放平台 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect iFLYTEK Open Platform / 讯飞开放平台 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 iFLYTEK Open Platform / 讯飞开放平台 to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.