How to Use the GroundX MCP in Claude Code

Q: How do I add the GroundX MCP Server to Claude Code?

Run claude mcp add with the server URL. This registers the 12 tools for use in your terminal commands.

Q: Can Claude Code monitor GroundX ingestion status?

Yes, use getingeststatus in a loop within your bash script. This tracks processing progress until the job completes.

Q: Is it possible to group buckets via Claude Code?

Yes, use the creategroup tool. It allows you to aggregate your data buckets into logical units for easier management.

Deploy GroundX with Claude Code to automate RAG pipelines, bucket management, and semantic search via the CLI.

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Connect GroundX MCP to Claude Code

Create your Vinkius account to connect GroundX to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GroundX with Claude Code

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Headless RAG via Claude Code

Run your ingestion jobs from the terminal. Use `ingest_documents` in your shell scripts to automate data updates. Pipe the results into other tools to keep your search index current. It integrates perfectly into your CI/CD flow.

CLI-based search with GroundX

Query your data without a browser. Use `search_content` to find answers and output them directly to your console. This allows you to verify RAG results inside your terminal session. It is ideal for debugging or quick lookups.

Manage infrastructure via CLI

Control your buckets and groups with simple commands. Call `list_buckets` to see your current storage allocation. It gives you full visibility into your GroundX environment. You can audit your setup without switching contexts.

Setup guide

Set up GroundX MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see groundx-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest GroundX transactions." It will automatically discover and invoke the available GroundX tools.

Terminal

claude mcp add --transport http groundx-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the GroundX MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "groundx-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GroundX. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GroundX MCP in Claude Code

Run `claude mcp add` with the server URL. This registers the 12 tools for use in your terminal commands.

Yes, use `get_ingest_status` in a loop within your bash script. This tracks processing progress until the job completes.

All traffic is encrypted and authenticated via your endpoint token. Your data resides in isolated storage, accessible only through the tools you trigger.

Yes, use the `create_group` tool. It allows you to aggregate your data buckets into logical units for easier management.

The server logs query metadata for performance tracking. Your actual search content is processed in memory and cleared after the tool execution.

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