Bring Business Apps
to LangChain
Create your Vinkius account to connect Kintone to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kintone MCP Server?
Connect your Kintone platform to any AI agent to automate your business operations. This MCP server enables your agent to interact with custom apps, manage data records, and query organizational metadata directly.
What you can do
- Record Management — List, retrieve, add, and update records in any of your Kintone apps
- App Discovery — List all available applications and retrieve detailed configurations and field mappings
- Data Querying — Use Kintone's powerful query language to filter records based on complex criteria
- Form Inspection — Access form field settings and layouts to understand data structures
- Space Visibility — List members and participants within your Kintone collaboration spaces
How it works
- Subscribe to this server
- Enter your Kintone Subdomain and API Token
- Start managing your business data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations Teams — Automate data entry and record updates via natural language commands
- Project Managers — Quickly query project statuses and task records from your IDE
- Business Analysts — Retrieve and analyze app data without manually exporting CSV files
Built-in capabilities (10)
Requires a JSON object mapping field codes to values. Add a new record to an app
Requires an array of record IDs. Delete records from an app
Get details for a specific app
Get the field layout of an app
Get a specific record from an app
Use this to identify App IDs for record operations. List all Kintone apps
List form fields for an app
You can optionally provide a query string for filtering. List records from an app
List members of a Kintone space
Update an existing record
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Kintone 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.
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The largest ecosystem of integrations, chains, and agents. combine Kintone MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Kintone queries for multi-turn workflows
Kintone in LangChain
Why run Kintone with Vinkius?
The Kintone connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Kintone using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kintone and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kintone to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Kintone for LangChain
Every request between LangChain and Kintone is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find the App ID for a specific application?
Use the list_apps tool to see a comprehensive list of all applications in your environment along with their unique App IDs.
Can I filter records using custom criteria?
Yes, the list_records tool accepts an optional Kintone query string, allowing you to filter data based on field values, status, and more.
Is it possible to update an existing record via the agent?
Absolutely. Use the update_record tool with the App ID and Record ID, providing a JSON object with the fields you wish to modify.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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