Bring Low Code
to LangChain
Create your Vinkius account to connect Jestor 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 Jestor MCP Server?
Empower your AI agents with Jestor's low-code internal tools platform. This MCP server allows you to list objects (tables), retrieve and list records, manage users, and monitor workflows and dashboards directly through the Jestor API. Ideal for automating internal operations and database management.
Built-in capabilities (10)
Use this to verify connection status and current permissions. Gets current authenticated user info
Useful for understanding field types and relationships within a specific table. Retrieves details/schema for a specific object
Essential for deep-diving into a specific entry in the database. Retrieves details for a specific record
Useful for discovering high-level toolsets available to the user. Lists all installed internal apps
Use this to identify where aggregated data visualizations are located. Lists all configured dashboards
Returns object names and labels. Use this to discover available datasets before querying specific records. Lists all objects (tables) in your Jestor account
This is the primary tool for browsing data within a table (e.g., listing all "Tasks" or "Clients"). Lists records for a specific object
Returns names, emails, and IDs. Useful for identifying record owners or system administrators. Lists all users in the organization
Use this to audit third-party integrations. Lists all configured webhooks
Useful for auditing system logic and event-driven actions. Lists all automated workflows
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Jestor 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 Jestor 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 Jestor queries for multi-turn workflows
Jestor in LangChain
Why run Jestor with Vinkius?
The Jestor 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 Jestor using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Jestor and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Jestor 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
Jestor for LangChain
Every request between LangChain and Jestor 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 get Jestor API credentials?
Log in to your Jestor account, navigate to Lowcode > API & Tokens, and generate a new token.
What are 'objects' in Jestor?
Objects are similar to tables in a database. They store your data and records.
Can I see my workflows?
Yes, the list_workflows tool provides a list of all active automations in your Jestor account.
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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