local-agent-tools
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
local-agent-tools
An experimental MCP server that lets an AI agent operate the machine it runs on: read and edit files, run commands, keep multi-stage Tasks with original receipts, browse project directories, delegate browser subtasks to a local Codex, and read built-in operating Skills.
Experimental and unmaintained. No releases, support or compatibility promises.
Install
Python 3.12 or newer on macOS or Linux, with Git. From a local checkout:
python3 -m venv .venv
.venv/bin/python -m pip install -r requirements.lock
.venv/bin/python -m pip install --no-deps --no-build-isolation .Tasks are stored in SQLite and need SQLite 3.51.3 or newer, or a patched 3.50.7+
or 3.44.6+ release. Check the interpreter the server runs on with
.venv/bin/python -c 'import sqlite3; print(sqlite3.sqlite_version)';
the python.org 3.12 and 3.13 installers ship older versions. The first create_task
or save_task creates the Task database. With an older SQLite, Task writes fail with
task_sqlite_unsupported, and once a Task database exists so do file writes,
commands and worktree creation, which check it for Task reservations. Reads work
with any SQLite.
Related MCP server: local-agent-mcp
Configure
.venv/bin/local-agent-tools init --workspace /absolute/path/to/projectThis writes ~/.config/local-agent-tools/config.toml (mode 0600) and never
overwrites it. By default access is read-only. Commands need
--local-access full_access --enable-commands; file writes need
--local-access full_access --enable-workspace-writes. Private state lives in
~/.local/state/local-agent-tools. --config and --state-dir go before the
subcommand.
Use with an MCP client
The server speaks MCP over stdio; the client starts it. One server runs per state
directory, and a second one on the same directory is refused, so give each client
its own --state-dir under ~/.local/state/local-agent-tools/clients/, where
scoped commands cannot reach it. Each state directory coordinates only itself: locks,
resource leases, Tasks and receipts do not cover other clients, so give concurrent
clients separate workspaces or worktrees.
{
"mcpServers": {
"local-agent-tools": {
"command": "/absolute/path/to/.venv/bin/local-agent-tools",
"args": ["--state-dir", "/Users/you/.local/state/local-agent-tools/clients/this-client", "serve"]
}
}
}Security
The tools act as your user account, not inside a sandbox:
Reads reach any directory your account can read, not only configured workspaces; only credential-named paths (such as
.ssh,.env*and*.key) are refused.With Full Access, enabled commands and file writes apply to everything your account can change, not only configured workspaces.
A call may carry an
operation_scope, which confines that call's command under macOS Seatbelt and its file writes to the scoped Full roots; Linux refuses scoped commands. Typed file tools check scope by path spelling, so another spelling of the same place (such as/System/Volumes/Data/...) can pass them. The calling client chooses whether to send a scope, so it does not restrain an untrusted agent.File contents and command output go to the client and its model provider; redaction is best effort.
Enable commands and writes only for an agent you trust with your account.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Maintenance
Related MCP Connectors
Use your Mac, Windows or Linux computer from ChatGPT, Claude or Codex: files, commands, documents.
Agent skills for Claude, Codex and Cursor: find, install and load skills from one connector.
Git-backed platform for skills, tools, and context for AI agents
Persistent cloud workspaces for AI agents: run commands, edit files, use git and a browser.
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