Score your specs before feeding them to an LLM. MCP server that measures spec quality on 4 axes.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add spec-score -- npx -y spec-score-mcp~/.codex/config.toml
[mcp_servers.spec-score]
command = "npx"
args = ["-y", "spec-score-mcp"]
# codex mcp add spec-score -- npx -y spec-score-mcp~/.cursor/mcp.json
{
"mcpServers": {
"spec-score": {
"command": "npx",
"args": [
"-y",
"spec-score-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"spec-score": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"spec-score-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"spec-score": {
"command": "npx",
"args": [
"-y",
"spec-score-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"spec-score": {
"command": "npx",
"args": [
"-y",
"spec-score-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"spec-score": {
"command": "npx",
"args": [
"-y",
"spec-score-mcp"
]
}
}
}