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Baserow MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json
{
  "mcpServers": {
    "baserow": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Baserow
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
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* 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.

GitHub Copilot Agent mode brings Baserow data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Baserow MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Baserow

Ask Copilot: "Using Baserow, help me...". 10 tools available

Why Use VS Code Copilot with the Baserow MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Baserow through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Baserow + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Baserow MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Baserow MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Baserow to VS Code Copilot via MCP:

01

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

02

delete_row

Provide the table ID and row ID. WARNING: this action is irreversible. Delete a row from a Baserow table

03

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

04

get_table

Provide the table ID from list_tables. Get details for a specific Baserow table

05

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

06

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

07

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

08

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

09

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

10

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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Baserow immediately.

01

"List all tables in my Baserow workspace."

02

"Show me all rows in the Tasks table where Status is 'In Progress'."

03

"Create a new task called 'Review PR #234' assigned to Alice with status 'To Do'."

Troubleshooting Baserow MCP Server with VS Code Copilot

Common issues when connecting Baserow to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Baserow + VS Code Copilot FAQ

Common questions about integrating Baserow MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Connect Baserow to VS Code Copilot

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.