Sven Scharmentke 2693042b65 ci: drive releases with release-please (#82)
Replaces the hand-run release process with
[release-please](https://github.com/googleapis/release-please)
(`googleapis/release-please-action@v5`).

## The new flow

1. Push to `main` -> release-please opens or rewrites a `chore(main):
release X.Y.Z` PR carrying the version bumps.
2. Before merging, add the `CHANGELOG.md` entry to that PR (rename `##
[Unreleased]` to `## [X.Y.Z] - date`).
3. Merge -> the tag and GitHub release are created, the release body is
set from your CHANGELOG entry, and PyPI publish runs behind the full
Windows test matrix.

No more editing three files and pushing a tag by hand.

## CHANGELOG stays hand-written

`skip-changelog: true`. release-please generates terse bullets from
commit subjects; the entries in this repo explain *why* a change
happened and credit the people who found it, which is worth more than
the automation saves. The `release-notes` job replaces the generated
GitHub release body with the CHANGELOG section for that version,
preserving what `publish-mcp.yml` used to do.

Bonus: because release-please never touches `CHANGELOG.md`, the `##
[Unreleased]` heading is a non-issue. It would otherwise have been a
trap - release-please finds its insert point with `\n###? v?[0-9[]`, and
`[` is inside that character class, so a new release would have been
inserted *above* `[Unreleased]`, stranding it.

## Two traps this avoids

**Tag-triggered publish would have silently stopped working.**
release-please creates the tag with `GITHUB_TOKEN`, and tags pushed by
that token do not start workflow runs. `publish-mcp.yml` is now
`workflow_call`/`workflow_dispatch` and is invoked via `needs`, so no
cross-workflow trigger is involved. Its `create-github-release` job is
dropped - release-please owns releases now.

**`include-component-in-tag` is set to `false` explicitly.** It defaults
to `true` in manifest mode, which with `package-name` set would have
tagged `mcp-windbg-v1.1.0` instead of `v1.1.0`.

## A latent bug fixed along the way

The awk that extracts the changelog section for the release notes used a
dynamic regex. awk treats `"\["` inside a string as a plain `"["`, which
collapsed the pattern into a character class matching **every** `## [`
heading - it always took the first section regardless of the version
requested. It only produced correct notes for v1.0.1 because that
heading happened to be on top at tag time; with an `[Unreleased]`
section present it would have shipped the wrong content.

Rewritten with `index()`/`substr()`, which has no escaping hazard:

```awk
awk -v hdr="## [$CLEAN_VERSION]" '
  index($0, hdr) == 1 { found = 1; next }
  found && substr($0, 1, 4) == "## [" { exit }
  found { print }
' CHANGELOG.md
```

Verified to extract the correct section for both 1.0.1 and 1.0.0, and
the job's real shell block was extracted from the YAML and executed
locally.

## PR titles now carry meaning

Squash-merging makes the PR title the commit subject, which is what
release-please reads. It must be a Conventional Commit or the change
contributes nothing to the next version. Worth knowing that of the
recent merges here, only `fix(deps): pin mcp dependency to <2.0.0` would
have counted.

`CLAUDE.md` documents the prefix table, the flow, and the two setup
requirements.

## Repo setting changed

"Allow GitHub Actions to create and approve pull requests" was **off**,
which would have made release-please fail with a 403 when opening the
release PR. Enabled via the API at your request.
`default_workflow_permissions` was left at `read` - each job declares
the scopes it needs.

## Verification

- Both JSON config files parse; all three workflow YAMLs parse.
- The `release-notes` shell block was extracted from the YAML and run
against the real `CHANGELOG.md`, producing the correct 1.0.1 body.
- 89 hermetic tests still pass.

The end-to-end release path cannot be fully proven until the first real
release runs - that is the one thing here I have not been able to
exercise.
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MCP Server for WinDbg Crash Analysis

CI Docs PyPI License: MIT Platform: Windows Python 3.10+

A Model Context Protocol server that bridges AI models with WinDbg for crash dump analysis, user-mode remote debugging, and kernel debugging.

Overview

This server drives the Windows debuggers - CDB for user mode (dumps and -remote) and KD for kernel targets (-k) - so you can debug in natural language: "Show me the call stack and explain this access violation" or "Open a kernel session and tell me which driver bugchecked."

It is not a magical auto-fix. It is a Python wrapper around cdb.exe / kd.exe that lets an LLM run real debugger commands and reason about the output.

Features

  • Crash dump analysis - open a .dmp/.mdmp/.hdmp and get automated triage (!analyze -v, stacks, modules, threads) in a single call.
  • User-mode remote debugging - attach to a live cdb/WinDbg debug server (-remote) over TCP, a named pipe, or COM, and break in on demand.
  • Kernel debugging - attach to a kernel target (-k, driven by kd.exe) over KDNET, a named pipe, or serial; the server waits for the target and breaks in for you.
  • Run any WinDbg/KD command - drive an open session with arbitrary commands (kb, !process 0 0, !heap, lm, ...) described in natural language.
  • Session ids - every open returns a session id; several sessions (dumps, remote, kernel) can be open at once and are addressed independently.
  • Resilient live sessions - per-call timeouts, and a slow live command that outruns its timeout is broken into with CTRL+BREAK and the session resynchronized instead of wedging.
  • Multi-dump triage - discover and compare many dumps across a directory.
  • Text filter hooks - a --filter-script can redact PII/secrets from tool arguments and output before they leave the machine.
  • stdio or HTTP - run locally over stdio, or as a streamable-HTTP service you drive from another machine.

Use cases

You have You want to Guide
A .dmp from a crash Root-cause it: exception, faulting frame, why it happened Analyze a crash dump
A live user-mode process (via cdb -server) Break in and inspect a hang or live state Debug a remote target
A KD-enabled machine or VM Debug drivers, bugchecks, and boot-time issues Debug a kernel target
A folder full of dumps Triage the batch and find the common signature Triage multiple dumps
A debugging host, but you work elsewhere Drive it over HTTP from another machine Debug from another machine
Dumps with secrets or PII Scrub tool output before it leaves the box Redact sensitive data

Tools

Every open_* tool returns an opaque session_id (e.g. cdb-1a2b3c4d); pass it to the matching run_*, close_*, send_ctrl_break, and wait_for_break calls. User-mode targets (dumps and -remote) run under cdb.exe; kernel targets run under kd.exe.

Tool Purpose
list_dumps List crash dump files in a directory
open_cdb_dump Open and triage a crash dump
open_cdb_remote Attach to a user-mode remote debug server (-remote)
open_kd_session Attach to a kernel target (-k, KDNET / named pipe / serial)
run_cdb_command Run a command on a user-mode session
run_kd_command Run a command on a kernel session
close_cdb_session Close a user-mode session
close_kd_session Close a kernel session (resumes the target machine)
send_ctrl_break Break into a running live session
wait_for_break Wait for a target you resumed with g to stop again

Parameters, timeouts, and the built-in triage prompts are in the tools reference.

Quick start

Prerequisites

Tip

In enterprise environments, MCP server usage might be restricted by organizational policies. Check with your IT team about AI tool usage and ensure you have the necessary permissions before proceeding.

Install

pip install mcp-windbg

Configure your client. The two most common setups are below; see the client configuration guide for Claude Desktop, Copilot CLI, Autohand Code, HTTP, and from-source.

Claude Code - register the server from the command line:

claude mcp add mcp-windbg -s user -e _NT_SYMBOL_PATH="SRV*C:\Symbols*https://msdl.microsoft.com/download/symbols" -- python -m mcp_windbg

VS Code (GitHub Copilot) - press F1 and select MCP: Open User Configuration to enable it in every workspace:

{
    "servers": {
        "mcp_windbg": {
            "type": "stdio",
            "command": "python",
            "args": ["-m", "mcp_windbg"],
            "env": {
                "_NT_SYMBOL_PATH": "SRV*C:\\Symbols*https://msdl.microsoft.com/download/symbols"
            }
        }
    }
}

Restart your client, then start debugging:

Analyze the crash dump at C:\dumps\app.dmp
Connect to tcp:Port=5005,Server=192.168.0.100 and show me the current thread state
Open a kernel session on net:port=50000,key=1.2.3.4, run !analyze -v, and tell me which driver bugchecked

Server options (--cdb-path, --kd-path, --symbols-path, --filter-script, --transport, ...) are documented in the command-line reference.

Documentation

svnscha.github.io/mcp-windbg

Topic Description
Getting started Setup and your first crash dump analysis
Analyze a crash dump Root-cause an exception: faulting frame, why it happened
Debug a remote target Break into a live user-mode process and inspect a hang
Debug a kernel target Drivers, bugchecks, and boot-time issues over KDNET or a pipe
Triage multiple dumps Scan a folder and find the common signature
Debug from another machine Run the server over HTTP and drive it remotely
Redact sensitive data Scrub secrets from tool output before it leaves the box
Reference Tools, prompts, CLI options, and client configuration
Troubleshooting Common issues and solutions
Development Run from a local checkout and point a client at the dev build

Blog

Read about the development journey: The Future of Crash Analysis: AI Meets WinDbg

License

MIT

S
Description
Model Context Protocol for WinDbg.
Readme MIT 7.2 MiB
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