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ChainRay

Official registry AI and agents

Multi-chain on-chain intelligence for AI agents through a public remote MCP server.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http chainray 'https://chainray.online/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "chainray": {
            "type": "http",
            "url": "https://chainray.online/mcp"
        }
    }
}
Remote (sse)
Claude Code 
claude mcp add --transport sse chainray 'https://chainray.online/mcp/sse'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "chainray": {
            "type": "sse",
            "url": "https://chainray.online/mcp/sse"
        }
    }
}

Frequently asked questions

What is ChainRay?

Multi-chain on-chain intelligence for AI agents through a public remote MCP server.

How do I install ChainRay?

It runs as a remote server. In Claude Code: claude mcp add --transport http chainray 'https://chainray.online/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ChainRay need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Who maintains ChainRay?

It is published by online.chainray. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.