AI Access Proxy Layer — granular permission gateway for AI agents. Connect services, define scopes, get an MCP endpoint.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http scopegate 'https://scopegate.dev/api/mcp/<API_KEY>'~/.codex/config.toml
[mcp_servers.scopegate]
url = "https://scopegate.dev/api/mcp/<API_KEY>"
# codex mcp add scopegate --url 'https://scopegate.dev/api/mcp/<API_KEY>'~/.cursor/mcp.json
{
"mcpServers": {
"scopegate": {
"url": "https://scopegate.dev/api/mcp/<API_KEY>"
}
}
}.vscode/mcp.json
{
"servers": {
"scopegate": {
"type": "http",
"url": "https://scopegate.dev/api/mcp/<API_KEY>"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"scopegate": {
"httpUrl": "https://scopegate.dev/api/mcp/<API_KEY>"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"scopegate": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://scopegate.dev/api/mcp/<API_KEY>"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"scopegate": {
"url": "https://scopegate.dev/api/mcp/<API_KEY>"
}
}
}