Baserow MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Baserow through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"baserow": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Baserow Agent",
instructions:
"You help users interact with Baserow " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Baserow?"
);
console.log(result.text);
}
main();
* 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 Baserow MCP Server
Connect your Baserow databases to any AI agent and take full control of your data through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Baserow tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Database Discovery — List all databases and tables the token has access to with their schemas
- Schema Exploration — Browse table fields (columns) with their types (text, number, boolean, date, select, etc.)
- Row Operations — List, create, update and delete rows with full CRUD support
- Filtered Queries — Query rows with pagination, ordering and field-based filtering
- View Management — List configured views (grid, gallery, kanban, form, calendar) with their filter and sort rules
The Baserow MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Baserow to Mastra AI via MCP
Follow these steps to integrate the Baserow MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Baserow via MCP
Why Use Mastra AI with the Baserow MCP Server
Mastra AI provides unique advantages when paired with Baserow through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Baserow without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Baserow tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Baserow + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Baserow MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Baserow, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Baserow as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Baserow on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Baserow tools alongside other MCP servers
Baserow MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Baserow to Mastra AI via MCP:
create_row
Requires the table ID and a JSON object with field_name: value pairs matching the table schema. Use list_fields to discover available field names. Returns the created row with its ID and all field values. Create a new row in a Baserow table
delete_row
Provide the table ID and row ID. WARNING: this action is irreversible. Delete a row from a Baserow table
get_row
Field names are returned in user-readable format. Provide the table ID and row ID. Get a specific row from a Baserow table
get_table
Provide the table ID from list_tables. Get details for a specific Baserow table
list_databases
Each database shows its ID, name, workspace and creation date. Use this to discover available databases before querying their tables. List all Baserow databases
list_fields
Each field shows its ID, name, type (text, number, boolean, date, single_select, long_text, link_row, file, etc.), order and required status. Use this to understand the data schema before querying or creating rows. List fields (columns) of a Baserow table
list_rows
Optionally filter by field values (using user_field_names) and set page/size for pagination. Results include count, next/previous page URLs and the rows array. Use field names (not IDs) for readable results. List rows in a Baserow table
list_tables
Each table shows its ID, name, database, field count and creation date. Use this to discover the data schema before querying rows. List all tables accessible in Baserow
list_views
Each view shows its ID, name, type, filter settings and sort rules. Useful for understanding how data is organized and filtered in the UI. List views configured for a Baserow table
update_row
Requires the table ID, row ID and a JSON object with field_name: value pairs for the fields to update. Only provided fields will be modified. Use list_fields to discover available field names. Update an existing row in a Baserow table
Example Prompts for Baserow in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Baserow immediately.
"List all tables in my Baserow workspace."
"Show me all rows in the Tasks table where Status is 'In Progress'."
"Create a new task called 'Review PR #234' assigned to Alice with status 'To Do'."
Troubleshooting Baserow MCP Server with Mastra AI
Common issues when connecting Baserow to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBaserow + Mastra AI FAQ
Common questions about integrating Baserow MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Baserow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Baserow to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.