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Yida MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Yida
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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 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Yida MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Yida tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Yida, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Yida tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

create_record

Create a new form record

02

delete_record

Delete a form record

03

get_form_schema

Get form field schema

04

get_instance_timeline

Get workflow instance timeline

05

get_record_details

Get record detailed data

06

list_data_ids

List data instance IDs

07

list_forms

List all forms in the Yida application

08

list_users

List application users

09

list_workflows

List application workflows

10

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.

01

"List all forms in my Yida application."

02

"Show me the last 5 instance IDs from the 'Purchase Request' form."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Yida + LangChain FAQ

Common questions about integrating Yida MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Yida to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.