Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Transparent audit proxy for MCP servers: logs every tool call, flags poisoning and rug pulls.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}ターミナルでこれを実行します
claude mcp add audit-proxy -- npx -y mcp-audit-proxyプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"audit-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント firatmio で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.0)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Signoff
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
A package-lock and flight recorder for MCP tool descriptions.
An MCP server's tool descriptions go straight into your model's context, and a server can change them at any time. mcp-audit sits transparently in front of any MCP server and:
mcp-audit lock diff and approves it with mcp-audit lock approve;Everything runs locally. No account, no cloud, no telemetry: nothing leaves your machine unless you configure a webhook. One Go binary, Apache 2.0.
$ mcp-audit run -- npx -y @modelcontextprotocol/server-filesystem /tmp
mcp-audit dev | mode: stdio, wrapping "npx -y @modelcontextprotocol/server-filesystem /tmp" mcp-audit config: built-in defaults (no config file found) mcp-audit policy: shadow (recording only, nothing is blocked) mcp-audit detectors: rug-pull, tool-poisoning, result-injection mcp-audit audit log: /home/you/.mcp-audit/logs/events.jsonl
That is the whole setup. No config file, nothing blocked, everything recorded.
The recording is scripts/demo.sh, which runs the whole story end to end against a stub server, in a temp directory that leaves your real state alone:
./scripts/demo.sh # watch it
TYPING_SPEED=0 PAUSE=0 ./scripts/demo.sh # run it instantly, as a smoke test vhs docs/demo.tape # re-record docs/demo.gif
No install needed — run it through npm, in front of the server you already use:
npx mcp-audit-proxy run -- npx -y @modelcontextprotocol/server-filesystem /tmp
Or download a binary for your platform from the latest release.
Note: the npm package and the release binaries are still 0.1.0, which
predates
mcp-audit lockand result scanning. Until 0.2.0 is out, build from
source to get them.
Build from source — Go 1.24 or newer, no other dependencies:
go build -o mcp-audit ./cmd/mcp-audit
Or install straight into your GOBIN:
go install github.com/firatmio/mcp-audit-proxy/cmd/mcp-audit@latest
Put mcp-audit run -- in front of the command you already run:
mcp-audit run -- npx -y @modelcontextprotocol/server-filesystem /tmp
Point the proxy at the upstream server and your client at the proxy:
mcp-audit serve --target https://example.com/mcp --listen :9000
Authentication is not touched: Authorization headers, OAuth flows and Mcp-Session-Id all pass through exactly as they arrive.
Every message is one JSON line:
$ tail -1 ~/.mcp-audit/logs/events.jsonl | jq
{ "timestamp": "2026-08-12T13:05:08.466Z", "event_id": "236d1568-e1f0-4ab4-ba75-f10f74f7b2c9", "client_id": "", "server_name": "server-filesystem", "direction": "request", "method": "tools/call", "tool_name": "read_file", "arguments": { "path": "/etc/hosts" } }
Some things you can do with it straight away:
# Which tools has this agent called, and how often?
jq -r 'select(.direction=="request" and .tool_name) | .tool_name' \ ~/.mcp-audit/logs/events.jsonl | sort | uniq -c | sort -rn
jq -c 'select(.policy_flags)' ~/.mcp-audit/logs/events.jsonl
jq -c 'select(.tool_name=="read_file") | {timestamp, arguments}' \ ~/.mcp-audit/logs/events.jsonl
See examples/clients/ for drop-in config snippets for Claude Desktop, Cursor and Windsurf. The pattern is always the same: keep the command you had, and put mcp-audit run -- in front of it.
Recording is the default. These checks run on top of it and, apart from RBAC, never block anything — they flag the event and print an alarm to stderr.
A poisoned MCP server hides instructions in a tool *description*. The user only sees a tool called echo; the model reads the rest. mcp-audit scans every advertised description and schema field for seven patterns:
| Rule | What it looks for |
|---|---|
instruction_override | "ignore all previous instructions" and variants |
hidden_instruction | markup aimed at the model: , , |
concealment | "do not tell the user", "without informing the user" |
credential_bait | ~/.ssh, id_rsa, .env, ~/.aws/credentials, /etc/shadow |
exfiltration | "send/upload/post …" with a URL nearby |
cross_tool_instruction | orders about *other* tools — the tool-shadowing attack |
invisible_characters | zero-width and bidi-override characters a human cannot see |
mcp-audit: ALERT possible tool poisoning on server "demo": tool "echo" description matched hidden_instruction: "<IMPORTANT>"
mcp-audit: ALERT possible tool poisoning on server "demo": tool "echo" description matched concealment: "do not mention this to the user"
A heuristic that flags every tool gets ignored, so the false-positive rate is measured, not guessed. testdata/corpus/benign holds the tool lists of real MCP servers — the official reference servers, and servers published by Microsoft (Playwright), the Chrome DevTools team, Notion, Supabase and others — captured with scripts/corpus-capture and pinned to exact package versions. testdata/corpus/benign-results holds real tool results: the filesystem server reading the MCP specification. Everything is run through the same policy engine the proxy uses, with the default configuration:
| Benign set | Items | Flagged | False-positive rate |
|---|---|---|---|
| Tool descriptions from 15 real MCP servers | 213 | 0 | 0.0% |
| Tool results from 1 real MCP server | 35 | 0 | 0.0% |
The table is generated by go test ./internal/corpus, which fails if it no longer matches what the detectors do. Every flagged item, and the heuristic behind it, is listed in testdata/corpus/RESULTS.md. The result set is small and comes from a single server, so treat its rate as a first reading rather than a settled number.
This measures false alarms only. It says nothing about how many attacks the heuristics catch: a detector that flags nothing would score 0% here too. A detection rate needs a corpus of real attacks, which does not exist here yet.
A tool's description is written by the server's author. Its *result* is often written by nobody you trust: the issue someone filed, the page a search returned, the ticket a customer opened. Instructions in that content reach the model the same way the real data does, with no malicious server involved.
mcp-audit scans every tools/call result — text blocks, embedded resources, resource links, structuredContent, and JSON-RPC error messages — for language addressed to the model, and flags the event result_injection_suspect:
mcp-audit: ALERT possible prompt injection in a result from server "fetch", tool "fetch": matched instruction_override: "ignore all previous instruction"
It uses only three of the description rules: instruction_override, hidden_instruction and concealment. The others misfire on ordinary content: measured on the benign results, exfiltration matched OAuth documentation sending the user to an https:// URL and cross_tool_instruction matched "before invoking any tool". credential_bait and invisible_characters are left out without having misfired there, because file reads in a coding session mention .env and ~/.ssh all the time, and zero-width joiners and tag characters are ordinary parts of emoji.
The cost of a scan is bounded, because the stdio pump reads the next message only once it is done:
go test ./internal/policy -bench ResultScan measures it on your machine. A result is matched to its request by id, so a response whose request the proxy did not see is not scanned. Turn it off with policy.result_scanning: false.
A rug pull is a server that advertises a harmless tool, waits for you to approve it, and changes the description days later. mcp-audit fingerprints every tool (SHA-256 over description + input schema) and remembers it in ~/.mcp-audit/state/tools.json, so the check survives restarts — which is the only way it could ever catch the attack.
mcp-audit: ALERT rug pull on server "demo": tool "read_file" changed its description or schema (first seen 2026-08-05T20:30:04Z, hash c203dda7a9ea -> 3f6e61538bfc)
The approved version stays the baseline, so the alarm repeats every session until a person looks at the change and decides. Think package-lock.json, for tool descriptions:
$ mcp-audit lock status
1 tool(s) changed since they were approved: files / read_file a1b2c3d4e5f6 -> 9f8e7d6c5b4a (changed 2026-10-19 09:00 UTC)
$ mcp-audit lock diff files / read_file a1b2c3d4e5f6 -> 9f8e7d6c5b4a Reads a file. Returns its text.
$ mcp-audit lock approve files read_file
lock status exits with status 1 while anything is pending, so it also works as a CI or pre-launch check.
The one check that can block. With no rules it allows everything; add a rule and a refused call never reaches the server — the client gets a JSON-RPC error instead.
policy:
rbac: default: allow rules:
mcp-audit: blocked: tool "shell_exec" is denied by rule for client "*" (deny: "shell_exec")
Other tools cover some of the same ground, and some of them cover more. What each one documents:
| mcp-audit | agent-scan (formerly Invariant's mcp-scan) | mcp-context-protector | P4ST4S/mcp-audit | |
|---|---|---|---|---|
| How it runs | proxy in front of each server (stdio, HTTP) | on-demand scan of the agent configs on a machine | wrapper in front of each server (stdio, HTTP, SSE) | proxy in front of each server (stdio, HTTP) |
| Pins tools, reacts when they change | alarms until a person approves (lock) | — | blocks tool calls until
冒頭だけを表示しています。続きはリポジトリで読めます