ByteRay AI MCP Server
ai.byteray/byteray-mcpv1.1.0
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Install ByteRay AI MCP server
Install in Claude Code
claude mcp add --transport http byteray https://mcp.byteray.ai/mcpInstall in Cursor
{
"mcpServers": {
"byteray": {
"url": "https://mcp.byteray.ai/mcp"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"byteray": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.byteray.ai/mcp"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"byteray": {
"type": "http",
"url": "https://mcp.byteray.ai/mcp"
}
}
}Install in Windsurf
{
"mcpServers": {
"byteray": {
"serverUrl": "https://mcp.byteray.ai/mcp"
}
}
}Remote endpoints
- streamable-http
https://mcp.byteray.ai/mcp
Freshness
Slowing — last maintenance signal 6mo ago. The newest of the signals below sets the band.
Last commit (default branch)
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Latest release
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Package published
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Registry entry updated
2026-04-19 · 6mo ago · official registry · v1.1.0
FAQ
›How do I install the ByteRay AI MCP server in Claude Code?
Run: claude mcp add --transport http byteray https://mcp.byteray.ai/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does ByteRay AI require an API key?
No required environment variables are declared in its published metadata.
›Can I use ByteRay AI as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is ByteRay AI in the official MCP registry?
Yes, as ai.byteray/byteray-mcp.