Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Transparent audit proxy for MCP servers: logs every tool call, flags poisoning and rug pulls.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add audit-proxy -- npx -y mcp-audit-proxyIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"audit-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto firatmio bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, LexPact UK Contracts
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Generate UK-law contracts: NDA, service, freelance, recruiter terms of business, IR35.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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