Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MACHINE_MCP_TOKENNoBearer token for a future HTTP listener. Generated if unset.
MACHINE_MCP_WORKSPACENoFile-tool root. Default: ~/machine-mcp-workspace (created on start).~/machine-mcp-workspace

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
statusA

Report OS, hostname, cwd, Python version, and whether copilot, ffmpeg, and git are on PATH.

Does not return secrets, tokens, or a home-directory listing.

runA

Run a command in the workspace root (not a shell).

Args: command: Program and arguments as a single string. Split with shlex on POSIX. timeout_seconds: Kill after this many seconds. Default 30, max 120.

Output is limited to 1MB each for stdout and stderr. A nonzero exit code returns ok=false.

record_terminalA

Record a bash script as a terminal demo.

This host does not start a recorder. If ffmpeg is missing, returns an error. If ffmpeg is present, returns the command you would run (Linux x11grab) and does not write a video file.

write_fileA

Write a UTF-8 file relative to the workspace root.

Refuses absolute paths and parent-directory segments.

read_fileA

Read a UTF-8 file relative to the workspace root. Size limit 1MB.

Refuses absolute paths and parent-directory segments.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AndreaGriffiths11/machine-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server