Compatible with every major AI agent and IDE
What is the ToolJet MCP Server?
Connect your ToolJet workspace to any AI agent to interact with your internal databases and automate business logic through natural language.
What you can do
- Database Exploration — List all available tables within your ToolJet Database to understand your data structure.
- Advanced Querying — Execute SQL SELECT queries on your tables to retrieve specific records, filter data, and generate insights.
- Data Entry — Insert new rows into your database tables directly from the chat interface using structured JSON data.
- Workflow Automation — Trigger complex ToolJet Workflows via webhooks, passing custom payloads to start automated business processes.
How it works
- Subscribe to this server
- Enter your ToolJet API Key (and optional Host URL for self-hosted instances)
- Start managing your internal data and workflows from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — Quickly query internal databases or trigger CI/CD workflows without leaving the code editor.
- Operations Teams — Update records or start business processes using natural language instead of complex UIs.
- Data Analysts — Explore ToolJet Database tables and run ad-hoc queries to verify data integrity.
Built-in capabilities (4)
Insert a new row into a ToolJet Database table
List all tables in the ToolJet Database
Use this for reading data (SELECT). Perform a SQL query on a ToolJet Database table
Trigger a ToolJet Workflow via Webhook
Why Vercel AI SDK?
The Vercel AI SDK gives every ToolJet tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ToolJet integration everywhere
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Built-in streaming UI primitives let you display ToolJet tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ToolJet in Vercel AI SDK
ToolJet and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ToolJet to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ToolJet in Vercel AI SDK
The ToolJet 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
ToolJet for Vercel AI SDK
Every tool call from Vercel AI SDK to the ToolJet MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I perform complex SQL joins using this server?
Yes, the query_table tool allows you to execute SQL queries. As long as the tables exist in your ToolJet Database and your organization ID is correct, you can perform SELECT statements including joins and filters.
How do I trigger a specific automation I built in ToolJet?
You can use the trigger_workflow tool. You will need the workflow_id and can optionally provide a JSON payload to pass data into the workflow's entry point.
Can I see the list of all my database tables?
Absolutely. Use the list_tables tool to retrieve a complete list of all tables currently configured in your ToolJet Database workspace.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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