Trace32
БесплатноНе проверенAI-driven interface for Lauterbach TRACE32 PowerView debugging, inspection, and scripting via remote API.
Описание
AI-driven interface for Lauterbach TRACE32 PowerView debugging, inspection, and scripting via remote API.
README
An MCP server that wraps Lauterbach TRACE32's public remote API (RCL) via the official lauterbach-trace32-rcl (PyRCL) package. It lets an AI agent (e.g. GitHub Copilot agent mode) drive TRACE32 PowerView for three MVP use cases:
- Debugging — read/write memory, registers and variables; run control (go / break / step); breakpoints
- Resource inspection — connection/run state, CPU, memory & register snapshots, PRACTICE function evaluation
- Script execution & flash — run PRACTICE
.cmmscripts, including SW target flash
Prerequisites
Python 3.9+
TRACE32 PowerView already running with the remote API (RCL) enabled. Add this to your
config.t32(blank line before/after each block):RCL=NETTCP PORT=20000Sanity-check it works before wiring up MCP:
t32rem localhost PRINT VERSION.SOFTWARE()
Install
pip install -e .
Configuration (environment variables)
| Variable | Default | Description |
|---|---|---|
T32_NODE |
localhost |
PowerView host |
T32_PORT |
20000 |
RCL port |
T32_PROTOCOL |
TCP |
TCP (recommended) or UDP |
T32_PACKLEN |
1024 |
UDP packet length (ignored for TCP) |
T32_TIMEOUT |
10 |
Connection/request timeout (s) |
T32_ALLOW_WRITE |
false |
Enables t32_write_memory, t32_write_register, t32_run_command, t32_run_script |
T32_ALLOW_FLASH |
false |
Enables t32_flash |
Safety guards
All read and debug-control tools are always available. Destructive operations are OFF by default and must be explicitly enabled:
T32_ALLOW_WRITE=true→ memory/register writes, arbitrary command passthrough, script executionT32_ALLOW_FLASH=true→ flash programming (independent ofT32_ALLOW_WRITE)
When a guard is closed, the tool returns an error explaining which flag to set — it never silently touches the target.
Register with GitHub Copilot (VS Code)
Workspace file .vscode/mcp.json is included. Adjust the env
values (host/port, and the guard flags when you intend to write/flash), then start
the server from the MCP view or the MCP: List Servers command. You can also run it
standalone:
python -m trace32_mcp
Tools
| Tool | Guard | Purpose |
|---|---|---|
t32_status |
— | Connection, run state, CPU, software build |
t32_read_memory |
— | Read N bytes → hex |
t32_read_register / t32_list_registers |
— | Read register(s) |
t32_read_variable |
— | Read an HLL variable/symbol |
t32_eval |
— | Evaluate a PRACTICE function expression |
t32_go / t32_break / t32_step |
— | Run control |
t32_set_breakpoint / t32_clear_breakpoint / t32_list_breakpoints |
— | Breakpoints |
t32_write_memory / t32_write_register |
ALLOW_WRITE |
Write memory/register |
t32_run_command |
ALLOW_WRITE |
Arbitrary TRACE32 command |
t32_run_script |
ALLOW_WRITE |
Run a PRACTICE .cmm (DO) |
t32_flash |
ALLOW_FLASH |
Program target flash via a flash .cmm |
Tests
pytest
Unit tests mock PyRCL, so no running TRACE32 is required. For end-to-end checks, the TRACE32 Instruction Set Simulator can stand in for real hardware.
Roadmap (post-MVP)
Trace/CTS inspection, symbol/source browsing, multicore selection, call stack, peripheral register views, structured variable trees, multi-instance routing.
Установка Trace32
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/coldclosewin-design/trace32-mcpFAQ
Trace32 MCP бесплатный?
Да, Trace32 MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Trace32?
Нет, Trace32 работает без API-ключей и переменных окружения.
Trace32 — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Trace32 в Claude Desktop, Claude Code или Cursor?
Открой Trace32 на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Trace32 with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
