MCP server¶

Termapy can run as an MCP (Model Context Protocol) server, letting an LLM client like Claude drive your serial device through a typed JSON tool surface.

Bare form -- auto-discovers a single .cfg under ./termapy_cfg/ (or the OS config dir):

termapy --mcp

Explicit form -- point at a specific cfg file (recommended for MCP client configs, where cwd is non-deterministic):

termapy --mcp termapy_cfg/mydevice/mydevice.cfg

Either way, the server starts a stdio loop bound to one device. No interactive UI; it speaks MCP frames on stdin/stdout and exposes one tool, run_command, for the client to call.

Architecture: one server per device¶

Each cfg is its own server process. Two devices on the bench means two termapy --mcp processes -- different ports, different profiles, never conflict. No hot-swap; if you want a different device, point a different MCP client entry at a different cfg.

Requires the [mcp] install extra (or [all]). See Installation.

Part 1: Setting up termapy for a device¶

A "device setup" is a config folder that holds everything termapy needs to talk to one specific piece of hardware. For MCP use, two files matter:

File	Purpose	Required?
`<name>.cfg`	Port, baud rate, line ending, etc.	Yes
`<name>.profile.json`	Command schema: how requests are sent and how responses are parsed into typed JSON	Recommended

Both files live at the top of the cfg folder, alongside <name>.log and <name>.history.

The cfg file¶

Standard termapy config. The MCP-relevant slice (partial example -- see the field reference for the rest):

{
    "serial": {
        "port": "COM4",
        "baud_rate": 115200
    },
    "line_ending": "\r\n",
    "auto_connect": true,
    "profile_path": "",
    "mcp_on_connect_cmd": ""
}

profile_path (default empty) lets you point at a profile in a non-conventional location. Empty means "look for <cfg_dir>/<cfg_name>.profile.json" -- the convention. mcp_on_connect_cmd runs a command automatically when the MCP server connects (the MCP counterpart of tui_on_connect_cmd / cli_on_connect_cmd).

The profile file¶

A device profile declares what commands the device understands and how its responses should be parsed. Without a profile, MCP run_command works but returns raw text (legacy fallthrough). With a profile, it returns typed JSON like {"celsius": 23}.

The authoritative, machine-readable schema ships inside the package as profile/schema.json -- point an LLM at it (or feed it into your MCP client's context) to draft, audit, or validate profiles automatically.

Minimal example -- one parameter-less command and one with an enum-typed parameter:

{
    "profile_version": 2,
    "profile_revision": "1.0.0",
    "profile_date": "2026-07-03",
    "device": {"name": "MyDevice", "vendor": "ACME"},
    "types": {
        "on_off": {
            "kind": "enum",
            "values": ["on", "off"],
            "help": "LED state: on or off."
        }
    },
    "commands": {
        "temp": {
            "help": "Read board temperature in Celsius.",
            "safety": "readonly",
            "response": {
                "format": "regex",
                "pattern": "Temperature:\\s+(?P<celsius>-?\\d+)\\s*C",
                "types": {"celsius": "int"},
                "timeout_ms": 300
            }
        },
        "set_led": {
            "help": "Turn the status LED on or off.",
            "safety": "mutable",
            "send_template": "led {state}",
            "typed_args": [
                {"name": "state", "type": "on_off", "required": true}
            ],
            "response": {
                "format": "literal",
                "pattern": "OK",
                "timeout_ms": 200
            }
        }
    }
}

temp is parameter-less: the LLM calls run_command("temp"), termapy sends temp\r\n and waits for a reply like Temperature: 23 C. The regex skips the prefix and unit, extracts the digits, the types map coerces them to int, and the call returns value={"celsius": 23}.

set_led takes one argument: the LLM calls run_command("set_led", state="on"), termapy formats the wire bytes via send_template (led on\r\n), waits for the literal OK reply, and returns success. The types block declares the reusable on_off enum; typed_args references it, so the LLM sees state: "on" | "off" in the tool definition. safety: mutable means it changes device state but doesn't trigger the destructive-confirmation gate.

Full schema, response formats (none, literal, lines, regex, json), the four-tier safety taxonomy (safe / readonly / mutable / destructive), and the request/response executor are documented in Authoring profiles.

Lifecycle on connect / disconnect¶

When the MCP server connects to its port, it auto-loads the profile from profile_path or the convention path. On disconnect, device-specific state (active profile, catalog, event buffers) is wiped, so reconnecting cleanly re-loads the profile.

Part 2: Hooking termapy into an MCP client¶

The MCP client is the program the user talks to (Claude Code, Claude Desktop, VS Code, etc.). It launches termapy --mcp as a child process and routes the LLM's tool calls to it.

Claude Code¶

claude mcp add --scope user termapy-mydevice -- termapy --mcp C:/path/to/termapy_cfg/mydevice/mydevice.cfg

Use --scope user (or --scope project for a team-shared .mcp.json). The default local scope registers the server for the current directory only and it silently stops loading after some restarts -- if the tool vanishes, re-add with an explicit scope.

Claude Desktop¶

Edit %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
    "mcpServers": {
        "termapy-mydevice": {
            "command": "termapy",
            "args": ["--mcp", "C:/path/to/termapy_cfg/mydevice/mydevice.cfg"]
        }
    }
}

Restart Claude Desktop. The tool mcp__termapy-mydevice__run_command shows up; the LLM can now drive the device.

For multiple devices, add more entries -- one per cfg. The key (termapy-mydevice) is the tool name prefix the LLM will see.

VS Code¶

Native MCP support uses .vscode/mcp.json (workspace-scoped) or user settings (global):

{
    "servers": {
        "termapy-mydevice": {
            "command": "termapy",
            "args": ["--mcp", "termapy_cfg/mydevice/mydevice.cfg"]
        }
    }
}

Workspace-scoped is nice for team projects -- commit .vscode/mcp.json and everyone who clones gets the same MCP wiring.

Running from a dev clone¶

If you're developing termapy itself (or want to test changes without releasing), point the client at uv run and set cwd:

{
    "mcpServers": {
        "termapy-mydevice": {
            "command": "uv",
            "args": ["run", "termapy", "--mcp", "termapy_cfg/mydevice/mydevice.cfg"],
            "cwd": "/path/to/termapy/repo"
        }
    }
}

Edit-restart-test cycle: edit termapy source, restart the MCP client, the new code runs.

Troubleshooting¶

Symptom	Likely cause
Client shows no termapy tool	MCP client config not reloaded -- restart the client. In Claude Code, also check the registration scope (see above)
`--mcp requires the 'mcp' optional dependency`	Missing extra: `uv tool install "termapy[all]"`
`run_command` returns raw text, not typed JSON	No profile loaded; legacy fallthrough is sending bytes but not shaping the response. Check `/mcp.info` for the profile revision; if blank, the profile didn't auto-load
Profile doesn't auto-load on connect	Check the convention path (`<cfg_dir>/<cfg_name>.profile.json`) or set `profile_path` explicitly. The session log will tell you
Need to see what the server is doing	Add `--mcp-verbose` to args; tees the session log to stderr

The session log lives at <cfg_dir>/mcp/session.log. Every dispatch, every TX/RX, every error is recorded there. Open it with /mcp.log (system viewer), /mcp.log.dump (inline), or /mcp.log.path (just the path).