Local-first MCP server for agent skills — validate, lint, convert, optimize tokens, and sync across Cursor, Claude, Kiro, Windsurf, and VS Code.
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add modelbound --env MODELBOUND_API_KEY='<MODELBOUND_API_KEY>' -- npx -y modelbound-mcp~/.codex/config.toml
[mcp_servers.modelbound]
command = "npx"
args = ["-y", "modelbound-mcp"]
env = { MODELBOUND_API_KEY = "<MODELBOUND_API_KEY>" }
# codex mcp add modelbound --env MODELBOUND_API_KEY='<MODELBOUND_API_KEY>' -- npx -y modelbound-mcp~/.cursor/mcp.json
{
"mcpServers": {
"modelbound": {
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<MODELBOUND_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"modelbound": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<MODELBOUND_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"modelbound": {
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<MODELBOUND_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"modelbound": {
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<MODELBOUND_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"modelbound": {
"command": "npx",
"args": [
"-y",
"modelbound-mcp"
],
"env": {
"MODELBOUND_API_KEY": "<MODELBOUND_API_KEY>"
}
}
}
}需要的环境变量
MODELBOUND_API_KEY
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。