GitHub
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Description from the maker (original English)
Transparent audit proxy for MCP servers: logs every tool call, flags poisoning and rug pulls.
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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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": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}Run this in your terminal
claude mcp add audit-proxy -- npx -y mcp-audit-proxyPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"audit-proxy": {
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}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": {
"audit-proxy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-audit-proxy"
]
}
}
}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 7, 2026
The registry name was verified with the GitHub account firatmio, 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 (0.1.0) 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: GitHub, Desktop Commander, Cloudflare MCP
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
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
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
Only the beginning is shown; read the rest in the repo