Kintone MCP Server for LangChainGive LangChain instant access to 8 tools to Add Records, Delete Records, Get App Fields, and more

Name: Kintone
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Kintone 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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The Kintone MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "kintone-alternative": {
            "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 Kintone, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Kintone MCP Server

Connect your Kintone instance to any AI agent and manage business applications through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Kintone 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

App Management — List all apps and inspect their field configurations
Record Operations — Create, read, update, and query records in any app
Data Queries — Search records using Kintone query syntax with field filters
Field Access — Browse app fields and their types for data modeling

The Kintone MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Kintone tools available for LangChain

When LangChain connects to Kintone through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, workflow-automation, database-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add records on Kintone

Input should be a JSON array of record objects. Add one or more records to an app

delete

Delete records on Kintone

Delete records from an app

get

Get app fields on Kintone

Get app field settings

get

Get record on Kintone

Get details for a specific record

get

Get space details on Kintone

Get details for a space

list

List apps on Kintone

List all accessible Kintone apps

list

List records on Kintone

You can provide an optional query string. List records from a Kintone app

update

Update records on Kintone

Update one or more records

Connect Kintone to LangChain via MCP

Follow these steps to wire Kintone into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Kintone via MCP

Why Use LangChain with the Kintone MCP Server

LangChain provides unique advantages when paired with Kintone through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Kintone 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 Kintone queries for multi-turn workflows

Kintone + LangChain Use Cases

Practical scenarios where LangChain combined with the Kintone MCP Server delivers measurable value.

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

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

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

Production monitoring: use LangSmith to trace every Kintone tool call, measure latency, and optimize your agent's performance

Example Prompts for Kintone in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Kintone immediately.

"List all apps and show the latest 5 records from the 'Sales Pipeline' app."

"Create a new deal in Sales Pipeline and query all deals over $50K."

"Show the field configuration for the Customer DB app."

Troubleshooting Kintone MCP Server with LangChain

Common issues when connecting Kintone to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Kintone + LangChain FAQ

Common questions about integrating Kintone MCP Server with LangChain.

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.

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.