Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Capture, replay, and debug failures with portable, executable bug artifacts
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.
You need
Which app do you use?
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": {
"bugproof": {
"command": "npx",
"args": [
"-y",
"bugproof"
]
}
}
}Run this in your terminal
claude mcp add bugproof -- npx -y bugproofPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"bugproof": {
"command": "npx",
"args": [
"-y",
"bugproof"
]
}
}
}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": {
"bugproof": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"bugproof"
]
}
}
}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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These 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 6, 2026
The registry name was verified with the GitHub account sidinsearch, 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 (1.6.5) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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.
Executable bugs, not bug reports.
Capture a failing command into a portable .bug artifact that anyone can replay on their machine — same code, same env, same failure. Cryptographically signable. Cross-platform. Zero containers required.
https://github.com/user-attachments/assets/2315cfee-3ccf-40d7-830e-3a3d23731ab8
"Works on my machine" is not a bug report.
Filing a backend or CLI bug today usually looks like this:
Then the maintainer spends hours reconstructing the failure: matching versions, replicating the env, finding the right command, guessing at config. Most of that time is wasted.
BugProof captures the bug — not the description of it. One command produces a single .bug file containing the source snapshot, the exact command, the environment schema, the failure fingerprint, and replay metadata. Another developer runs bugproof replay bug.bug and reproduces the failure deterministically.
Think of it as Git for bugs: a portable, content-addressable, verifiable artifact that turns "can you reproduce?" into a one-liner.
bugproof capture -- and ship the result.bugproof keygen / --sign / verify.--self-heal auto-installs missing npm/pip deps in the sandbox and retries.npm install -g bugproof
Requirements: Node.js 18+ and Git. Optional language toolchains (Python, Java, Go, Rust, …) are only needed if your captured command uses them.
Run a one-off health check after install:
bugproof doctor
Add a single step to any GitHub Actions workflow to auto-capture flaky/failing commands as .bug artifacts.
- name: Capture flaky test
uses: sidinsearch/BugProof/.github/actions/bugproof-action@main with: command: 'npm test -- --run flaky-suite' name: flaky-test-failure timeout: 300000
How it works: The action installs bugproof from npmjs.org (npm install -g bugproof) → wraps your command with bugproof capture → on failure, the .bug artifact is uploaded to the Actions run. Developers download and repro locally with bugproof replay.
Use cases:
bugproof capture -- node app.js bundles the crash state, env, and sourceAll inputs:
| Input | Required | Default | Description |
|---|---|---|---|
command | ✅ | — | Command to capture (e.g. npm test) |
name | — | bug_ | Artifact name |
timeout | — | 300000 | Command timeout in ms |
skip-secrets | — | false | Skip env secret scanning |
upload-artifact | — | true | Upload .bug file as Actions artifact |
node-version | — | 24 | Node.js version for bugproof |
The action lives at .github/actions/bugproof-action/action.yml in this repo. Reference it via uses: sidinsearch/BugProof/.github/actions/bugproof-action@main. BugProof is always installed from npmjs.org — no GitHub Packages token needed.
BugProof ships a built-in MCP (Model Context Protocol) server that exposes 10 tools plus Resources and Prompts for AI agents. Listed on the Official MCP Registry as io.github.sidinsearch/bugproof.
Add to ~/.claude/settings.json:
{
"mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } }
Add to Cursor MCP config (Settings → Features → MCP):
{
"mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } }
Add to ~/.continue/config.json:
{
"experimental": { "mcpServers": { "bugproof": { "command": "npx", "args": ["-y", "bugproof", "mcp"] } } } }
If you already have bugproof globally (npm install -g bugproof), omit npx -y:
{
"mcpServers": { "bugproof": { "command": "bugproof", "args": ["mcp"] } } }
No separate MCP install needed. npx -y bugproof mcp auto-downloads from npmjs.org and starts the server over stdio.
| Tool | Description | When an AI agent would use it |
|---|---|---|
capture | Run a command, capture as .bug artifact | "Capture this failing test and tell me what changed" |
replay | Replay a .bug file, return verdict | "Replay the artifact from CI and confirm it still fails" |
inspect | Show artifact metadata | "What's in this .bug file without running it?" |
diff | Compare two artifacts | "Compare the CI capture with my local capture — what's different?" |
doctor | Check sandbox capabilities | "Does this machine support full sandbox isolation?" |
share | Share artifact via GitHub Gist | "Share this bug with my team" |
pull | Download artifact from Gist | "Pull the bug artifact from this URL" |
watch | Auto-capture on command failure | "Watch npm test and capture if it fails" |
list | List .bug artifacts in directory | "Show me all bug artifacts in this project" |
clean | Remove .bug artifacts | "Clean up old bug artifacts from this directory" |
AI agents can read .bug artifact contents directly via resource URIs:
bugproof://artifact/{path} — Read the raw .bug artifact (base64-encoded ZIP)Pre-built workflows for common AI agent tasks:
| Prompt | Description |
|---|---|
capture-failure | Guide to capture a failing command as a .bug artifact |
replay-and-analyze | Replay an artifact and analyze the root cause |
compare-bugs | Compare two artifacts to find differences |
User: Capture the failing test and tell me what went wrong
Agent: [calls bugproof capture -- npm test -- --run flaky-suite] [calls bugproof inspect on the result] "The test failed with a timeout. Fingerprint matches a known Redis-unreachable pattern. Here's the captured stderr..."
The MCP server communicates over stdio (JSON-RPC 2.0). It shells out to the local bugproof CLI with --json output and returns structured results with both human-readable summaries and raw data. If bugproof isn't installed, npx -y fetches it from npmjs.org — no global install required.
BugProof ships a distributable AI Agent Skill that teaches AI coding agents (Claude Code, Cursor, OpenCode, OpenClaw, Gemini CLI, GitHub Copilot, and others) how to use BugProof effectively. The skill follows the open Agent Skills standard — build once, use across any compatible agent.
When loaded, the skill gives AI agents complete knowledge of:
Agents auto-load the skill when users mention:
Or invoke directly: /bugproof
# Clone the BugProof repository
git clone https://github.com/sidinsearch/BugProof.git
cp -r BugProof/skills/bugproof ~/.claude/skills/
cp -r BugProof/skills/bugproof ~/.config/opencode/skills/
cp -r BugProof/skills/bugproof ~/.agents/skills/
cp -r BugProof/skills/bugproof ~/.cursor/skills/
# Download just the skill
curl -L https://github.com/sidinsearch/BugProof/archive/refs/heads/main.tar.gz | tar xz cp -r BugProof-main/skills/bugproof ~/.claude/skills/
skills/bugproof/
├── SKILL.md # Main instructions (required) ├── reference/ │ └── commands.md # Full command reference └── examples/ └── usage-examples.md # Real-world usage examples
| Agent | Skill Directory |
|---|---|
| Claude Code | ~/.claude/skills/bugproof/ |
| OpenCode | ~/.config/opencode/skills/bugproof/ |
| OpenClaw | ~/.agents/skills/bugproof/ |
| Cursor | ~/.cursor/skills/bugproof/ |
| Gemini CLI | ~/.gemini/skills/bugproof/ |
| GitHub Copilot | .github/skills/bugproof/ |
The skill follows the open Agent Skills specification — any agent that supports the standard can use it.
# 1. Reproduce a failure
$ npm test FAIL Tests failed because Redis was unreachable.
$ bugproof capture -- npm test ✔ Artifact captured! Path ./bug_1778049738215.bug Files 42 files (28.4 KB) Fingerprint sha256:c8b3...
$ bugproof replay bug_1778049738215.bug ✔ REPRODUCTION CONFIRMED Exit code exit 1 (match) Verdict Reproduction confirmed (exact fingerprint match)
Optional flow:
$ bugproof inspect bug.bug # peek at the contents
$ bugproof diff old.bug new.bug # what changed between two captures $ bugproof share bug.bug # publish as a GitHub Gist
BugProof ships 14 commands. Every command supports --help and --json for machine-readable output.
| Command | Purpose |
|---|---|
bugproof capture | Run a command, record everything, produce a .bug artifact |
bugproof replay | Re-execute an artifact, compare against expected fingerprint |
bugproof watch | Transparently wrap a command — capture *only* if it fails |
bugproof inspect | Show artifact contents (manifest, command, fingerprint, files) |
bugproof diff | Side-by-side comparison of two artifacts |
| bugproof verify | Validate the Ed25519 signature on a .bug (standalon
Only the beginning is shown; read the rest in the repo