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SVAR Docs AI Tools MCP Server

SVAR MCP Server

We offer a Model Context Protocol (MCP) server that connects AI coding assistants directly
to the latest SVAR documentation, API references, and code examples

The SVAR MCP Server connects your AI environment to trusted, up-to-date SVAR knowledge. Since AI models can miss recent updates, the server helps them answer with current, verified information and generate code that follows our recommended patterns. When enabled, your AI agent can securely query the server for verified, private assistance based on the latest SVAR knowledge.

Server URL

The SVAR MCP Server uses retrieval and routing techniques to provide accurate answers from the latest SVAR documentation:

Smart Search

Custom retrieval-augmented generation solution that finds relevant information and generates precise answers based on your specific queries

Relevant answers

Intelligent machine learning model that identifies your intention and optimizes query routing to the parts of our knowledge that are truly relevant

Always up-to-date

Real-time ingestion pipelines that ensure that our system serves the up-to-date version of our insights

Hosted Service

The SVAR MCP server is available as a fully managed hosted service, so you do not need to install or maintain anything.

The service doesn't store any personal information of MCP users. Queries sent to the server may be stored for debugging and service improvement purposes though. If you want to opt-out of this, please contact us at info@svar.dev, we can provide a commercial version of the service with guaranteed no-logging policies.

How to Integrate SVAR MCP Server

Here are instructions on how to enable the SVAR MCP server in popular AI coding tools.

Claude Code

To use the MCP server with Claude Code, you can add it via the command line or configure it in your project settings.

Using the CLI: Run the following command in your terminal:

claude mcp add --transport http svar-mcp https://docs.svar.dev/mcp

Manual Configuration: You can also add it to your ~/.claude.json or .mcp.json configuration file:

{
 "mcpServers": {
   "svar-mcp": {
     "type": "http",
     "url": "https://docs.svar.dev/mcp"
   }
 }
}

For more information, consult the official documentation.

Cursor

Cursor has built-in support for MCP servers.

  1. Open Cursor Settings (Cmd+Shift+J or Ctrl+Shift+J).
  2. Navigate to Tools & MCP.
  3. Click Add Custom MCP.
  4. Enter server configuration
{
 "mcpServers": {
   "svar-mcp": {
     "serverUrl": "https://docs.svar.dev/mcp"
   }
 }
}

Once added, you can reference it in your chats (e.g., "Check SVAR Docs for how to configure the grid").

Alternatively, you can install the SVAR MCP server directly in Cursor with one click:

Install MCP for Cursor

Learn more in the official documentation.

VS Code

Click the button to install the SVAR MCP server directly in VS Code:

Install MCP VS Code

Antigravity CLI (formerly Gemini)

To use the server with the Antigravity CLI tool type /mcp inside the prompt panel and configure it within MCP Manager Overlay.

Alternatively, you can configure it manually:

  1. Locate your configuration file, typically at ~/.gemini/config/mcp_config.json for global setup and at .agents/mcp_config.json for workspace setup.
  2. Add the server to the mcpServers object: 
    {
     "mcpServers": {
       "svar-mcp": {
         "serverUrl": "https://docs.svar.dev/mcp"
       }
     }
    }
  3. Restart the Antigravity CLI.

See the official documentation for further details.

Antigravity (Google)

For Google's Antigravity agent:

  1. Open command palette and type "mcp add"
  2. Select "HTTP"
  3. Enter the URL https://docs.svar.dev/mcp
  4. Enter the Name svar-mcp

Refer to the official documentation for more guidance.

Other IDEs / Tools

For Google's Antigravity agent:

  1. Check the settings for Model Context Protocol or Context Sources.
  2. Add a new custom source with the URL https://docs.svar.dev/mcp

ChatGPT

To enable the server in ChatGPT:

  1. Open ChatGPT and navigate to Settings / Apps & Connectors.
  2. Click Advanced settings.
  3. Enable the Developer mode
  4. Go "Back" and now you must have the "Create" button on the "Connectors" screen, click it
  5. Enter Name svar-mcp
  6. Enter URL https://docs.svar.dev/mcp
  7. Select No authentication as Authentication
  8. Click Create to finish

You can now ask your Custom GPT to "Consult the SVAR MCP server" when asking questions about Svelte DataGrid.

Full setup details are available in the official documentation.

Grok Build

Refer to the official documentation for guidance.