Yida MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Yida through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
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({
"yida": {
"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 Yida, 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 Yida MCP Server
Empower your AI agent to orchestrate your enterprise operations with Yida, the premier low-code platform under the DingTalk ecosystem. By connecting Yida to your agent, you transform complex form management and data orchestration into a natural conversation. Your agent can instantly list your forms, retrieve field schemas, manage data records (create, update, delete), and even monitor workflow approval timelines without you needing to navigate the complex DingTalk interface. Whether you are managing administrative approvals, inventory tracking, or customized business processes, your agent acts as a real-time operations assistant, keeping your data accurate and your workflows moving.
LangChain's ecosystem of 500+ components combines seamlessly with Yida through native MCP adapters. Connect 10 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
- Form Orchestration — List all accessible forms and retrieve detailed field schemas for your Yida applications.
- Data Operations — Manage form instances (records) with full support for creating, listing, and granular updates.
- Workflow Monitoring — Check the current status and approval timeline for any workflow instance.
- Schema Auditing — Retrieve internal form schemas to understand data structures and field IDs.
- User Coordination — Access application user lists to manage assignments and participation effectively.
The Yida MCP Server exposes 10 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 Yida to LangChain via MCP
Follow these steps to integrate the Yida 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 10 tools from Yida via MCP
Why Use LangChain with the Yida MCP Server
LangChain provides unique advantages when paired with Yida through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Yida 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 Yida queries for multi-turn workflows
Yida + LangChain Use Cases
Practical scenarios where LangChain combined with the Yida MCP Server delivers measurable value.
RAG with live data: combine Yida tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Yida, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Yida tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Yida tool call, measure latency, and optimize your agent's performance
Yida MCP Tools for LangChain (10)
These 10 tools become available when you connect Yida to LangChain via MCP:
create_record
Create a new form record
delete_record
Delete a form record
get_form_schema
Get form field schema
get_instance_timeline
Get workflow instance timeline
get_record_details
Get record detailed data
list_data_ids
List data instance IDs
list_forms
List all forms in the Yida application
list_users
List application users
list_workflows
List application workflows
update_record
Update an existing record
Example Prompts for Yida in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Yida immediately.
"List all forms in my Yida application."
"Show me the last 5 instance IDs from the 'Purchase Request' form."
"What is the approval timeline for purchase request 'REQ-2026-042'?"
Troubleshooting Yida MCP Server with LangChain
Common issues when connecting Yida to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersYida + LangChain FAQ
Common questions about integrating Yida 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 Yida 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 Yida to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
