An MCP server (Model-Client-Protocol) allowing Claude to access a shell. This integration enables Claude to execute commands and interact with your
An MCP server (Model-Client-Protocol) allowing Claude to access a shell. This integration enables Claude to execute commands and interact with your file system via the command line. The mcp process mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
pywinpty package is required - On Linux/Mac, the ptyprocess package is requiredSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Plenty of file and storage access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by jrame; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
Add the following section:
```json
"mcpServers": {
"wsl": {
"command": "mcp-process",
"args": [
"--process-path-args", "wsl.exe --cd /mnt/c/Users/YourName",
"--filter-patterns", "\\x1b\\[[0-9;]*m",
"--exec-name", "exec",
"--exec-description", "Exécute une commande statique (ls pwd cat tree ps mkdir cp grep find git sed echo rg ...) et retourne son résultat",
"--exec-timeout", "60"
]
},
"psql": {
"command": "mcp-process",
"args": [
"--process-path-args", "psql.exe postgresql://postgres:password@localhost:5432/db",
"--exec-name", "psql",
"--exec-description", "Exécute une commande statique sql et retourne son résultat ex: -c \"SELECT * FROM table;\" ",
"--exec-timeout", "120"
]
}
}Configuration as documented by the project. Restart the client after saving.
pywinpty package is required - On Linux/Mac, the ptyprocess package is requiredScoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.