Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Tells you what leaked in a .har capture, who's on the page, and what to strip. No network calls.
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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"har-forensics": {
"command": "npx",
"args": [
"-y",
"har-forensics-mcp"
]
}
}
}Run this in your terminal
claude mcp add har-forensics -- npx -y har-forensics-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"har-forensics": {
"command": "npx",
"args": [
"-y",
"har-forensics-mcp"
]
}
}
}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": {
"har-forensics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"har-forensics-mcp"
]
}
}
}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.
Your choice stays on this device in a cookie; no account needed.
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 8, 2026
The registry name was verified with the GitHub account aryanspv, 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 (0.3.2) reached the registry 3 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, Winecellarbuilders
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
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Audit a .har capture from inside your editor. Other HAR tools show you a list of requests. This one answers the question you opened the file for: what leaked, who's on the page, and what to strip before you send it anywhere.
Reads a file from local disk, computes, writes to stdout. It makes no network calls, which is the point: a real capture holds live session cookies, Authorization headers, and sometimes card numbers.
Works with anything that speaks MCP over stdio — Cursor, Claude Code, Windsurf, Zed, VS Code Copilot.
Claude Code:
claude mcp add --scope user har-forensics -- npx -y har-forensics-mcp
--scope user registers it for every directory. Without it the server is scoped to whichever directory you ran the command in — which still reports success, and then the tools are silently absent everywhere else.
Cursor — .cursor/mcp.json in the project, or ~/.cursor/mcp.json globally:
{
"mcpServers": { "har-forensics": { "command": "npx", "args": ["-y", "har-forensics-mcp"] } } }
Windsurf / Zed / VS Code Copilot take the same command + args shape in their own MCP config files.
Restart the editor, then point a tool at a capture:
Run
analyze_haron~/Downloads/checkout.har
Requires Node 20+. Nothing else — no clone, no build, no API key, no account.
| Tool | Answers |
|---|---|
find_captures | "Where are my .har files?" — scans Downloads, Desktop, Documents, cwd, temp. |
analyze_har | "What's in this capture?" — triage overview, one verdict per check. Start here. |
har_brief | The full audit as redacted markdown. The artifact to quote or paste. |
har_findings | Findings, worst-first, filterable by severity. Paged. |
har_vendors | Every third party, scored 0–100 by blast radius, with an HTTP Archive scrutiny tier. |
har_provenance | Who loaded whom — the fourth parties your vendors brought with them. |
har_perf | "Why was this slow?" — slowest requests by dominant phase, per-origin handshake cost, uncompressed assets, time lost to redirects. |
har_csp | A starter Content-Security-Policy synthesized from observed traffic. |
har_hunt | Query requests — is:thirdparty, status:>=400, type:script, host:…. Returns entry indices. |
har_entry | Everything about one request: headers, cookies, body, timing phases. |
har_curl | That request as a runnable cURL or fetch(), credentials masked. |
har_diff | Before vs. after: what was added, what regressed, which third parties are new. |
sanitize_har | Write a .redacted.har safe to attach to a ticket. |
har_hunt → har_entry → har_curl is the loop: find the request, read it, replay it. Every tool that returns a list takes a limit and tells you the total, so nothing silently returns a first page as if it were the whole answer.
Every tool except sanitize_har is annotated readOnlyHint, and all of them are openWorldHint: false — the no-network guarantee below, in a form your client can read and act on rather than prose you have to take on trust.
No network. The analyzers contain no fetch, and this transport does not add one. That invariant is the product — Cloudflare shipped a DLP profile in March 2026 that detects HAR files in HTTP traffic and lets admins block the upload outright, because unsanitized HARs are a known credential-exfiltration path.
Summaries, never dumps. Every tool returns a rendered conclusion, not raw entries, and every list is bounded with its total stated. The captures this exists for run to tens of thousands of entries and hundreds of megabytes; handing an agent the entry list would blow its context and make it slower at a job the analyzers already did. (This was a promise the code broke until 0.2.0 — har_findings had no cap and returned ~93,000 tokens on a 10,000-entry capture. The 27-entry demo returned ~175, which is exactly why it went unnoticed.)
Redacted by default. har_brief and har_findings route through the same redactor the browser export uses, built from a single shared secret-pattern table. An agent reading a capture in an editor is *more* likely to paste a finding into a chat window than a human with a download folder.
sanitize_har refuses to write over an existing target or the original capture.is:third-party, staus:404) is an error, not an empty result. Those were the same response until 0.2.0, which meant a typo could report a capture clean.startedDateTime. Comparing to now marks every token in a week-old capture as expired and buries the one that was genuinely dead when the browser sent it.This package ships one file, dist/server.js. It is deliberately not minified — the build treats it as something a human debugging an editor integration will read far more often than something a machine will parse for size — so it is the same code a build would produce, already built. There is no separate source repository to clone; the shipped file is the artifact to audit.
MIT. Bundled vendor data is generated from third-party-web — MIT, Copyright (c) 2017 Patrick Hulce, derived from HTTP Archive.