ipdata MCP by usefulapi
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
Description from the maker (original English)
Scans Cursor/Claude/Windsurf/VS Code MCP configs for unpinned versions, secrets, typosquats
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": {
"config-auditor": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-config-auditor"
]
}
}
}Run this in your terminal
claude mcp add config-auditor -- npx -y @guardbee/mcp-config-auditorPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"config-auditor": {
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-config-auditor"
]
}
}
}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": {
"config-auditor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@guardbee/mcp-config-auditor"
]
}
}
}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 GuardBee, 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 (0.9.0) reached the registry 6 days 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: ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi, Lambda Labs MCP by usefulapi
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
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
MCP server for MaxMind minFraud — score transactions for fraud risk from your AI assistant.
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
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.
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An MCP server that audits the MCP client config on a machine: Cursor mcp.json, Claude Desktop claude_desktop_config.json, Windsurf mcp_config.json, and VS Code mcp.json.
mcp-server-auditor reads an MCP server's source. This package reads the config that decides which servers an agent will run. It does not start those servers and it does not send the config anywhere.
Telemetry is off by default. With
GUARDBEE_TELEMETRY=1it sends the server, tool, success, duration and short parameter values such as a file path; longer strings and fields likecontent,tokenorpasswordare replaced with a placeholder. See@guardbee/mcp-telemetry.
Claude ──► mcp-config-auditor ──► mcp.json (or host-wide discover)
│ ├─ Unpinned package (npx -y pkg, @latest) ├─ Typosquat (one edit from a known server package) ├─ Secret in env/args ├─ autoApprove "*" ├─ Remote HTTP without auth ├─ Cross-server shadowing (when you pass a tool inventory) ├─ Agent SKILL.md (allowed-tools, body, lookalike names) └─ Shadow MCP discover (OWASP MCP09 — host paths + org allowlist)
| Pattern | Severity | OWASP | What it means |
|---|---|---|---|
unpinned_package | high | MCP04:2025 | A launcher (npx, uvx, pnpm, yarn, bunx, pipx) runs a package with no major.minor.patch pin |
unpinned_container_image | high | MCP04:2025 | docker run / podman run starts an image by tag, not by @sha256: digest |
typosquat_package | critical | MCP04:2025 | The package name is one edit from a known MCP server package |
secret_in_env | critical | MCP01:2025 | A credential-shaped value or a sensitive key with a long literal |
secret_in_args | critical | MCP01:2025 | A token on the command line |
auto_approve_wildcard | critical | MCP02:2025 | autoApprove / alwaysAllow is * or true |
cleartext_remote | high | MCP07:2025 | A non-loopback http:// URL |
unauthenticated_remote | high/medium | MCP07:2025 | A non-loopback URL with no Authorization / API-key header and no token env var |
cross_server_tool_shadow | high | MCP03:2025 | The same tool name on two servers |
confusable_tool_name | critical | MCP03:2025 | Homoglyph or one-edit tool names across servers |
cross_server_tool_redirect | high | MCP03:2025 | A description tells the model to call another server's tool |
skill_unrestricted_shell | critical | MCP02:2025 | allowed-tools includes bare Bash, shell, or * |
skill_unrestricted_write | high | MCP02:2025 | allowed-tools includes Write or Edit with no path limit |
skill_instruction_override | critical | MCP06:2025 | The skill tells the model to ignore prior instructions |
skill_covert_instruction | critical | MCP06:2025 | The skill tells the model to hide its behavior from the user |
skill_secret_file_read | critical | MCP01:2025 | The skill tells the model to read .ssh, .env, or a similar file |
skill_at_secret_ref | critical | MCP01:2025 | An @ reference inlines a credential path |
secret_in_skill | critical | MCP01:2025 | A literal token is written in the skill file |
skill_name_shadow | high | MCP03:2025 | Two SKILL.md files use the same name |
skill_confusable_name | critical | MCP03:2025 | Two skill names differ only by a lookalike character |
shadow_mcp_server | high | MCP09:2025 | discover — server installed on the host but not on the org allowlist |
allowlist_not_configured | medium | MCP09:2025 | discover ran without an allowlist |
unreviewed_mcp_server | low | MCP09:2025 | Server seen during discover with no allowlist yet |
mcp_server_drift_across_clients | medium | MCP09:2025 | Same server key maps to different packages/URLs in two clients |
mcp_index_grade_below_minimum | high (F: critical) | MCP04:2025 | --min-grade — the server's GuardBee MCP Index grade is below the minimum |
Loopback URLs (localhost, 127.0.0.1, ::1) are not remote findings. Placeholder values (${API_KEY}, changeme) are not secrets. Reported secret matches are redacted. Bash(git diff:*) is a command allowlist and is not an unrestricted shell. Read alone is not flagged.
{
"mcpServers": { "guardbee-mcp-config-auditor": { "command": "npx", "args": ["-y", "@guardbee/mcp-config-auditor"] } } }
npx @guardbee/mcp-config-auditor scan .cursor/mcp.json --fail-on=high --format=sarif > results.sarif
npx @guardbee/mcp-config-auditor inventory ./tool-inventory.json npx @guardbee/mcp-config-auditor discover --allowlist=./mcp-allowlist.json --fail-on=high
--grades (on scan and discover) shows the GuardBee MCP Index grade of every configured server: an A–F trust grade for each server in the official MCP Registry, rebuilt weekly from its published package. The grade comes from the shipped code (the GuardBee scanners), known vulnerabilities and malware (OSV), Sigstore build provenance and maintenance signals; the rubric is public and versioned. --min-grade=C also reports every server graded below C (mcp_index_grade_below_minimum, so --fail-on can gate on it).
npx @guardbee/mcp-config-auditor discover --min-grade=C
The whole index is downloaded (and cached for a day in ~/.guardbee/mcp-index.json) and searched on this machine, so no server or package name is sent anywhere. --offline uses the cache only; --index-url= points at another copy. Local commands, remote URLs and servers outside the official registry have no grade and are never findings.
Walks well-known Cursor / Claude Desktop / Claude Code / Windsurf / VS Code / Gemini CLI / Cline / Zed paths on this machine and compares every installed server to an organization allowlist. Does not start servers. Claude Code's per-project servers (projects[" "].mcpServers in ~/.claude.json) are listed under claude-code: ; Zed's context_servers and JSON with comments are understood.
Inventory. --format=json adds an inventory: for every server its client, config path, name, transport, command and arguments, npm/PyPI package with version and whether it is pinned, URL, the names of its env variables and headers, auto-approve, and the findings for it. It never holds a secret: env and header values are left out, argument values after --token/--api-key-style flags, KEY=value pairs, provider tokens and passwords in connection strings are [redacted], and URLs lose their credentials and query values. --format=text prints the same list; --format=sarif the findings.
Fleet. FLEET.md has Jamf, Intune, systemd and CI recipes. --allowlist-from-dashboard checks against the organization allowlist admins manage in the dashboard (merged with --allowlist when both are given), and --grades adds MCP Index grades to the uploaded inventory.
Organisation-wide. --upload sends the inventory to the GuardBee dashboard (GUARDBEE_API_KEY, a workspace key with the gateway.write scope), which keeps the latest inventory per machine; run it from your device-management tool or a login script. The machine's host name, OS and OS user name are included — --no-user leaves the user out.
GUARDBEE_API_KEY=gb_… npx @guardbee/mcp-config-auditor discover --allowlist=./mcp-allowlist.json --upload --fail-on=none
Allowlist JSON:
{
"names": ["filesystem", "github"], "packages": ["@modelcontextprotocol/server-filesystem", "@guardbee/mcp-secret-scanner"], "hosts": ["mcp.example.com"] }
Or lines: name:filesystem, package:@scope/pkg, host:mcp.example.com, or a bare server name.
A directory scan opens mcp.json, mcp_config.json, claude_desktop_config.json, and SKILL.md. Pass a file path to scan any other name. A file named SKILL.md is audited as an agent skill. Same-name and lookalike skill findings appear on a directory scan, because one file cannot see the others.
guardbee.yml:
mcp-config-auditor:
fail-on: high max-files: 5000 exclude:
Tool inventory shape:
{
"servers": [ { "name": "github", "tools": [{ "name": "create_issue", "description": "Open an issue" }] } ] }
Shadowing needs that inventory because a client config does not list tools. rug-pull-detector can collect a live tools/list; this package compares several of those lists.
Questions, ideas, or a false positive? Start a thread in GitHub Discussions or open an issue. If GuardBee is useful to you, a ⭐ on the repository helps others find it.