MCP server that calculates an Agent Signal Optimization score across discovery, trust, commerce, interoperability, Google AI Search guidance, and browser-agent UX.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add aso-score -- npx -y @forgemeshlabs/aso-score-mcp~/.codex/config.toml
[mcp_servers.aso-score]
command = "npx"
args = ["-y", "@forgemeshlabs/aso-score-mcp"]
# codex mcp add aso-score -- npx -y @forgemeshlabs/aso-score-mcp~/.cursor/mcp.json
{
"mcpServers": {
"aso-score": {
"command": "npx",
"args": [
"-y",
"@forgemeshlabs/aso-score-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"aso-score": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@forgemeshlabs/aso-score-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"aso-score": {
"command": "npx",
"args": [
"-y",
"@forgemeshlabs/aso-score-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"aso-score": {
"command": "npx",
"args": [
"-y",
"@forgemeshlabs/aso-score-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"aso-score": {
"command": "npx",
"args": [
"-y",
"@forgemeshlabs/aso-score-mcp"
]
}
}
}