A Model Context Protocol (MCP) server that enables secure command execution on the host system. This server allows AI assistants like Claude to run
Command mcp server lets Claude, Cursor and other MCP clients work with Command directly. A Model Context Protocol (MCP) server that enables secure command execution on the host system. This server allows AI assistants like Claude to run shell commands with optional working directory and stdin support.
A Model Context Protocol (MCP) server that enables secure command execution on the host system. This server allows AI assistants like Claude to run shell commands with optional working directory and stdin support.
Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
The server reads 2 environment variables: LOG_DIR, LOG_LEVEL. Keep credentials in your client's env block or a secrets manager rather than committing them.
File and storage servers are what separate an assistant that talks about your documents from one that actually works with them. Command sits in that group. Worth comparing against the other file systems servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
**Option B: Native Binary**
```json
{
"mcpServers": {
"mcp-server-command": {
"command": "/absolute/path/to/stdio/build/native/nativeCompile/mcp-server-command",
"env":{
"LOG_DIR":"/Users/<username>/Library/Logs/Claude",
"LOG_LEVEL":"DEBUG"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| LOG_DIR | Filesystem location the server is allowed to use. | Optional |
| LOG_LEVEL | Configuration value read at startup. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.