Ramaris
On-chain wallet analytics and trading strategies on Base for AI assistants
What is Ramaris?
Ramaris is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to on-chain wallet analytics and trading strategies on base for ai assistants
On-chain wallet analytics and trading strategies on Base for AI assistants
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- On-chain wallet analytics and trading strategies on Base for
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @ramaris/mcp-serverManual Installation
npx -y @ramaris/mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Ramaris
What is Ramaris?
Ramaris is a Model Context Protocol (MCP) server that on-chain wallet analytics and trading strategies on base for ai assistants It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Ramaris?
Install via npm with the command: npx -y @ramaris/mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Ramaris?
Ramaris works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Ramaris free to use?
Yes, Ramaris is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Finance & Fintech MCP Servers
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Set Up Ramaris in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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