Context7
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Description from the maker (original English)
Let AI agents interact with debug probes — connect, flash, read/write memory, and reset.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DBGPROBE_BACKEND, DBGPROBE_MCP_LOG_LEVEL, DBGPROBE_JLINK_PATH, DBGPROBE_JLINK_GDBSERVER_PATH, DBGPROBE_JLINK_DEVICE, DBGPROBE_INTERFACE, DBGPROBE_SPEED_KHZ, DBGPROBE_MCP_PLUGINS, DBGPROBE_MCP_TOOL_SEPARATORYou need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dbgprobe": {
"command": "uvx",
"args": [
"dbgprobe-mcp-server"
],
"env": {
"DBGPROBE_BACKEND": "your-value",
"DBGPROBE_MCP_LOG_LEVEL": "your-value",
"DBGPROBE_JLINK_PATH": "your-value",
"DBGPROBE_JLINK_GDBSERVER_PATH": "your-value",
"DBGPROBE_JLINK_DEVICE": "your-value",
"DBGPROBE_INTERFACE": "your-value",
"DBGPROBE_SPEED_KHZ": "your-value",
"DBGPROBE_MCP_PLUGINS": "your-value",
"DBGPROBE_MCP_TOOL_SEPARATOR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add dbgprobe --env DBGPROBE_BACKEND=your-value --env DBGPROBE_MCP_LOG_LEVEL=your-value --env DBGPROBE_JLINK_PATH=your-value --env DBGPROBE_JLINK_GDBSERVER_PATH=your-value --env DBGPROBE_JLINK_DEVICE=your-value --env DBGPROBE_INTERFACE=your-value --env DBGPROBE_SPEED_KHZ=your-value --env DBGPROBE_MCP_PLUGINS=your-value --env DBGPROBE_MCP_TOOL_SEPARATOR=your-value -- uvx dbgprobe-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dbgprobe": {
"command": "uvx",
"args": [
"dbgprobe-mcp-server"
],
"env": {
"DBGPROBE_BACKEND": "your-value",
"DBGPROBE_MCP_LOG_LEVEL": "your-value",
"DBGPROBE_JLINK_PATH": "your-value",
"DBGPROBE_JLINK_GDBSERVER_PATH": "your-value",
"DBGPROBE_JLINK_DEVICE": "your-value",
"DBGPROBE_INTERFACE": "your-value",
"DBGPROBE_SPEED_KHZ": "your-value",
"DBGPROBE_MCP_PLUGINS": "your-value",
"DBGPROBE_MCP_TOOL_SEPARATOR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dbgprobe": {
"type": "stdio",
"command": "uvx",
"args": [
"dbgprobe-mcp-server"
],
"env": {
"DBGPROBE_BACKEND": "your-value",
"DBGPROBE_MCP_LOG_LEVEL": "your-value",
"DBGPROBE_JLINK_PATH": "your-value",
"DBGPROBE_JLINK_GDBSERVER_PATH": "your-value",
"DBGPROBE_JLINK_DEVICE": "your-value",
"DBGPROBE_INTERFACE": "your-value",
"DBGPROBE_SPEED_KHZ": "your-value",
"DBGPROBE_MCP_PLUGINS": "your-value",
"DBGPROBE_MCP_TOOL_SEPARATOR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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DBGPROBE_BACKEND envDBGPROBE_MCP_LOG_LEVEL envDBGPROBE_JLINK_PATH envDBGPROBE_JLINK_GDBSERVER_PATH envDBGPROBE_JLINK_DEVICE envDBGPROBE_INTERFACE envDBGPROBE_SPEED_KHZ envDBGPROBE_MCP_PLUGINS envDBGPROBE_MCP_TOOL_SEPARATOR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account es617, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A stateful debug probe Model Context Protocol (MCP) server for developer tooling and AI agents. Works out of the box with Claude Code, VS Code with Copilot, and any MCP-compatible runtime. Communicates over stdio and drives on-chip debug probes (J-Link first, OpenOCD and pyOCD planned) to flash, debug, and inspect embedded targets.
Example: Let Claude Code list attached J-Link probes, connect to your nRF52840, flash a new firmware, read memory, and reset the target — all conversationally.
Video walkthrough — connecting to a J-Link probe, flashing firmware, loading ELF and SVD for symbol-aware debugging, RTT logging, and breakpoints.
If you've ever typed J-Link Commander commands by hand, copy-pasted memory addresses between a datasheet and a terminal, re-flashed the same firmware 20 times during a debug session, and juggled multiple tool windows — this is for you.
You have a microcontroller on a debug probe. You want an AI agent to interact with it — connect, flash firmware, read/write memory, reset, halt, resume. This server makes that possible.
It gives any MCP-compatible agent a full set of debug probe tools. The agent calls these tools, gets structured JSON back, and reasons about what to do next — without you manually driving JLinkExe for every operation.
What agents can do with it:
pip install dbgprobe-mcp-server
claude mcp add dbgprobe -- dbgprobe_mcp
claude mcp add dbgprobe \ -e DBGPROBE_JLINK_PATH=/Applications/SEGGER/JLink/JLinkExe \ -- dbgprobe_mcp
Then in Claude Code, try:
"List attached debug probes, connect to the J-Link, and read 16 bytes from address 0x20000000."
| Backend | Status | Probe hardware |
|---|---|---|
| J-Link | Working (v0) | SEGGER J-Link (EDU, EDU Mini, PLUS, PRO, etc.) |
| OpenOCD | Planned | ST-Link, CMSIS-DAP, and many others |
| pyOCD | Planned | CMSIS-DAP, ST-Link, J-Link (via pyOCD) |
The server is backend-agnostic — tool names (dbgprobe.*) stay the same regardless of which probe you use.
Install the SEGGER J-Link Software Pack. The server auto-detects JLinkExe on PATH or in common install locations:
/Applications/SEGGER/JLink//opt/SEGGER/JLink/, /usr/bin/C:\Program Files\SEGGER\JLink\Or set DBGPROBE_JLINK_PATH to point to the executable directly.
*This project is not affiliated with or sponsored by SEGGER. J-Link is used because it's widely available and well-supported.*
| Category | Tools |
|---|---|
| Probe | dbgprobe.probes.list, dbgprobe.connect, dbgprobe.erase, dbgprobe.disconnect, dbgprobe.reset, dbgprobe.halt, dbgprobe.go, dbgprobe.step, dbgprobe.status, dbgprobe.flash, dbgprobe.mem.read, dbgprobe.mem.write, dbgprobe.breakpoint.set, dbgprobe.breakpoint.clear, dbgprobe.breakpoint.list |
| Introspection | dbgprobe.connections.list |
| ELF | dbgprobe.elf.attach, dbgprobe.elf.info, dbgprobe.elf.lookup, dbgprobe.elf.symbols |
| SVD | dbgprobe.svd.attach, dbgprobe.svd.info, dbgprobe.svd.read, dbgprobe.svd.write, dbgprobe.svd.set_field, dbgprobe.svd.update_fields, dbgprobe.svd.list_peripherals, dbgprobe.svd.list_registers, dbgprobe.svd.list_fields, dbgprobe.svd.describe |
| RTT | dbgprobe.rtt.start, dbgprobe.rtt.stop, dbgprobe.rtt.read, dbgprobe.rtt.write, dbgprobe.rtt.status |
| Plugins | dbgprobe.plugin.list, dbgprobe.plugin.template, dbgprobe.plugin.load, dbgprobe.plugin.reload |
| Tracing | dbgprobe.trace.status, dbgprobe.trace.tail |
See docs/tools.md for full schemas and examples.
# Editable install from repo root
pip install -e ".[test]"
uv pip install -e ".[test]"
MCP is a protocol — this server works with any MCP-compatible client. Below are setup instructions for the most common ones.
# Standard setup
claude mcp add dbgprobe -- dbgprobe_mcp
claude mcp add dbgprobe \ -e DBGPROBE_JLINK_DEVICE=nRF52840_xxAA \ -- dbgprobe_mcp
claude mcp add dbgprobe -e DBGPROBE_MCP_LOG_LEVEL=DEBUG -- dbgprobe_mcp
Add to your project's .vscode/mcp.json (or create it):
{
"servers": { "dbgprobe": { "type": "stdio", "command": "dbgprobe_mcp", "args": [], "env": { "DBGPROBE_JLINK_DEVICE": "nRF52840_xxAA" } } } }
Adjust env to match your target — set DBGPROBE_JLINK_DEVICE to your chip, or remove it to specify the device at connect time.
Add to your project's .cursor/mcp.json (or create it). Cursor does not support dots in tool names, so DBGPROBE_MCP_TOOL_SEPARATOR must be set to _:
{
"mcpServers": { "dbgprobe": { "command": "dbgprobe_mcp", "args": [], "env": { "DBGPROBE_JLINK_DEVICE": "nRF52840_xxAA", "DBGPROBE_MCP_TOOL_SEPARATOR": "_" } } } }
| Variable | Default | Description |
|---|---|---|
DBGPROBE_BACKEND | jlink | Debug probe backend. Future: openocd, pyocd. |
DBGPROBE_MCP_LOG_LEVEL | WARNING | Python log level (DEBUG, INFO, WARNING, ERROR). Logs go to stderr. |
DBGPROBE_MCP_TRACE | enabled | JSONL tracing of every tool call. Set to 0, false, or no to disable. |
DBGPROBE_MCP_TRACE_PAYLOADS | disabled | Include memory data payloads in traced args (stripped by default). |
DBGPROBE_MCP_TRACE_MAX_BYTES | 16384 | Max payload chars before truncation (only when TRACE_PAYLOADS is on). |
DBGPROBE_MCP_TOOL_SEPARATOR | . | Character used to separate tool name segments. Set to _ for MCP clients that reject dots in tool names (e.g. Cursor). |
DBGPROBE_MCP_PLUGINS | disabled | Plugin policy: all or comma-separated plugin names (e.g. nrf52,stm32). |
| Variable | Default | Description |
|---|---|---|
DBGPROBE_JLINK_PATH | auto-detect | Explicit path to JLinkExe (or JLink.exe on Windows). |
DBGPROBE_JLINK_GDBSERVER_PATH | auto-detect | Explicit path to JLinkGDBServerCLExe. |
DBGPROBE_JLINK_DEVICE | *(none)* | Default target device string (e.g. nRF52840_xxAA). Can be overridden per-session. |
DBGPROBE_INTERFACE | SWD | Debug interface: SWD or JTAG. |
DBGPROBE_SPEED_KHZ | 4000 | Interface clock speed in kHz. |
DBGPROBE_GDB_TRACE | disabled | Log all GDB RSP packets to file. Set to 1, true, or yes to enable. |
DBGPROBE_GDB_TRACE_FILE | /tmp/gdb_trace.log | Path for GDB RSP trace log (only when GDB_TRACE is on). |
Attach an ELF file to a session to enable symbol-aware debugging:
breakpoint.set(symbol="main") instead of raw addressesstatus, step, and halt include symbol + symbol_offset when an ELF is attached.elf auto-attaches it; flashing .hex/.bin auto-reloads a previously attached ELF; sibling .elf files are suggested via hints> "Attach the ELF, set a breakpoint on main, run, and show me where it halted."
The agent calls elf.attach, breakpoint.set(symbol="main"), go, then status — and gets back "halted at main+0" instead of a raw hex address.
Attach an SVD (System View Description) file to a session to enable register-level peripheral access:
svd.read("GPIO.OUT") returns the raw value and all decoded fields with enum namessvd.read("GPIO.PIN_CNF[3].PULL") returns the field value and enum name ("PullUp")svd.set_field("GPIO.PIN_CNF[3].PULL", "PullUp") does read-modify-writesvd.update_fields("GPIO.PIN_CNF[3]", {"DIR": "Output", "PULL": "PullUp"}) — one read, one writesvd.write("GPIO.OUT", 0x01) — full register, no RMWmem.read hits a known register address, the response includes decoded fields> "Attach the SVD, read GPIO.PIN_CNF[3], and set PULL to PullUp."
The agent calls svd.attach, svd.read("GPIO.PIN_CNF[3]"), then svd.set_field("GPIO.PIN_CNF[3].PULL", "PullUp") — and gets back decoded field values instead of raw hex.
Start, stop, read, and write to SEGGER RTT channels. The agent can stream target log output and send data to the device — useful for debugging firmware that prints over RTT instead of UART.
> "Start RTT and show me the output."
For repetitive flows — read device ID, run a self-test sequence, validate calibration — you can package them as plugins: Python modules that expose custom tools the agent can call directly.
Only the beginning is shown; read the rest in the repo