How to Use the LunarCrush (Social Intelligence for Crypto Assets) MCP in Claude Code

Connect Claude Code to live crypto insights via this MCP Server for headless automation.

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Connect LunarCrush (Social Intelligence for Crypto Assets) MCP to Claude Code

Create your Vinkius account to connect LunarCrush (Social Intelligence for Crypto Assets) 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 LunarCrush (Social Intelligence for Crypto Assets) with Claude Code

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Claude

Perplexity

Claude Code automates social data pipelines

Run `get_galaxy_score` in a CI/CD pipeline to gate deployments or trigger alerts based on social trends. Claude Code handles the response parsing in your terminal. It treats the MCP Server like a standard shell tool. You get immediate, raw output that can be piped into other scripts or monitoring services.

Headless market monitoring with Claude Code

Use `get_market_metrics` inside a cron job to log crypto data to your server. Claude Code manages the connection and keeps your logs updated without a GUI. It simplifies your DevOps workflow. By integrating this MCP Server, you automate the collection of market signals directly from the command line.

Scale your analysis with Claude Code

Execute `list_assets` across multiple containers to scan the entire market simultaneously. Claude Code coordinates the requests and consolidates the data for your reports. No manual polling is required. The agent manages the rate limits and ensures your terminal stays focused on the data that matters.

Setup guide

Set up LunarCrush (Social Intelligence for Crypto Assets) 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 lunarcrush-social-intelligence-for-crypto-assets-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest LunarCrush (Social Intelligence for Crypto Assets) transactions." It will automatically discover and invoke the available LunarCrush (Social Intelligence for Crypto Assets) tools.

Terminal

claude mcp add --transport http lunarcrush-social-intelligence-for-crypto-assets-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 LunarCrush (Social Intelligence for Crypto Assets) 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": {
    "lunarcrush-social-intelligence-for-crypto-assets-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 LunarCrush. 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 LunarCrush (Social Intelligence for Crypto Assets) MCP in Claude Code

Use the command line to add the server: claude mcp add --transport http -- . Make sure to include your endpoint token in the configuration.

Yes. Since the server uses an HTTP transport, you can connect your containerized agent to the endpoint and start querying metrics immediately.

If a tool fails, the agent receives the error message directly in the terminal, allowing you to debug or retry the request manually.

It is. The tool output is structured for easy parsing, making it perfect for shell scripts and automated data workflows.

The server transmits only public market data over an encrypted channel. Your environment variables and local files remain isolated from the data flow.

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