Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Transparent audit proxy for MCP servers: logs every tool call, flags poisoning and rug pulls.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add audit-proxy -- npx -y mcp-audit-proxy프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"audit-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 firatmio 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
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