Marrow AI MCP server (@getmarrow/mcp). The control layer for AI agents: a named yes before an agent acts, and proof the next agent can reuse. Claude Code, Cursor, Codex, any MCP client.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add marrow-ai-control-layer-for-ai-agents --env MARROW_API_KEY='<MARROW_API_KEY>' -- npx -y @getmarrow/mcp~/.codex/config.toml
[mcp_servers.marrow-ai-control-layer-for-ai-agents]
command = "npx"
args = ["-y", "@getmarrow/mcp"]
env = { MARROW_API_KEY = "<MARROW_API_KEY>" }
# codex mcp add marrow-ai-control-layer-for-ai-agents --env MARROW_API_KEY='<MARROW_API_KEY>' -- npx -y @getmarrow/mcp~/.cursor/mcp.json
{
"mcpServers": {
"marrow-ai-control-layer-for-ai-agents": {
"command": "npx",
"args": [
"-y",
"@getmarrow/mcp"
],
"env": {
"MARROW_API_KEY": "<MARROW_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"marrow-ai-control-layer-for-ai-agents": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@getmarrow/mcp"
],
"env": {
"MARROW_API_KEY": "<MARROW_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"marrow-ai-control-layer-for-ai-agents": {
"command": "npx",
"args": [
"-y",
"@getmarrow/mcp"
],
"env": {
"MARROW_API_KEY": "<MARROW_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"marrow-ai-control-layer-for-ai-agents": {
"command": "npx",
"args": [
"-y",
"@getmarrow/mcp"
],
"env": {
"MARROW_API_KEY": "<MARROW_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"marrow-ai-control-layer-for-ai-agents": {
"command": "npx",
"args": [
"-y",
"@getmarrow/mcp"
],
"env": {
"MARROW_API_KEY": "<MARROW_API_KEY>"
}
}
}
}Environment variables
MARROW_API_KEY
Replace the placeholders with your own credentials and keep them out of version control.