WatchGuard MCP
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Descripción del creador (original en inglés)
Scan for prompt injection, secrets, PII, and vet MCP servers before installation
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"mund": {
"command": "npx",
"args": [
"-y",
"@weave_protocol/mund"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add mund -- npx -y @weave_protocol/mundPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"mund": {
"command": "npx",
"args": [
"-y",
"@weave_protocol/mund"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"mund": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@weave_protocol/mund"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Tyox-all, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.12) llegó al registro hace 8 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: WatchGuard MCP, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Infrastructure security for AI agents. We attack what we defend.
Make agent behavior verifiable, auditable, and cryptographically provable across any harness, any platform. Built as a TypeScript monorepo with MCP integration, blockchain anchoring, and — as of Q4 — a published red-team engine that tests our own defenses.
The thesis: every security platform claims its defenses work. We're the first to publish the attacks that prove it. Same suite. Same scorecard. Same locked benchmark — applied to our own packages on every push and release, with the scorecard published in CI.
npx @weave_protocol/cli init
The CLI detects your framework (LangChain, LlamaIndex, MCP, OpenAI, Anthropic, Microsoft, Google) and scaffolds the right security middleware for your stack. Or install everything at once:
npm install @weave_protocol/full
An agent with a broad write rule could rewrite the files that control it: WARD.md, its harness's hook and settings files, MCP server lists, or git hooks. This is the pattern behind Cursor's CurXecute (CVE-2025-54135), where injected content rewrote mcp.json. Every adapter now asks a human before an agent writes or deletes one of these, even when a rule like write: /repo/** covers it. To let an agent edit one, name that exact file in an allow rule.
A web page can point its own domain at 127.0.0.1 and call a local server from your browser. This is the class behind the Playwright MCP DNS-rebinding issue (CVE-2025-9611). On its default loopback bind, the API now answers only requests addressed to localhost, 127.0.0.1 or [::1]. Add other names with WEAVE_ALLOWED_HOSTS.
Mund now looks for what an injection is trying to do, not one fixed phrase. The patterns cover:
It also reads text a person never sees: hidden HTML, base64, invisible Unicode tag characters, and words split by zero-width characters. A precedence bug in the shell_injection rule, which flagged any line containing braces, is fixed.
| Measured on | Before (0.5.1) | After (0.5.2) | False positives |
|---|---|---|---|
| Lakera Gandalf injections, 112 | 17.9% | 65.2% | – |
| jackhhao jailbreaks, 139 + 123 benign | 30.9% | 58.3% | 0 of 123 |
| deepset prompt-injections train split, 203 + 343 benign (mostly German) | 4.9% | 24.6% | 0 of 343 |
| Our Adversary corpus, 68 + our benign corpus of 84 | 27.9% | 94.1% | 0 of 84 (was 8) |
The three public sets were never used to write the rules; only their totals were checked. Our own corpus was used, so its 94.1% is optimistic. A hit means at least one finding at medium severity or higher. Pattern matching has a ceiling: paraphrased and harmful-content requests still get through, which is where a classifier would come in.
CI now runs our own attack corpus through our own defenses, offline:
The scorecard goes to the job summary. CI fails if detection falls or false positives rise past the committed baseline. Today's numbers:
A big stretch across offense, defense, and how releases ship. Highlights:
The Claude Code, Antigravity and MSAF adapters each checked only part of a tool call. They looked at one argument per tool and the first URL in a shell command, so some calls a WARD policy denies got through. Ward 0.2.0 adds one shared evaluator, evaluateToolCall, which all three now use. It checks:
An invalid WARD.md now blocks instead of switching enforcement off. Upgrade to adapter-claudecode 0.3.0, adapter-antigravity 0.3.0 or adapter-msaf 0.2.0.
@weave_protocol/adapter-cursor enforces WARD.md through Cursor's agent hooks: shell commands, file reads, MCP calls, and every other tool through preToolUse. Set it up with weave-ward-cursor init. It's live-checked in Cursor 3.28.7: a denied read and a denied write were both blocked. That makes seven harnesses enforcing the same WARD.md.
@weave_protocol/adapter-opencode is an OpenCode plugin that enforces WARD.md on every tool call, so the same policy covers whichever model OpenCode runs, including DeepSeek, Kimi, Qwen or a local model. Add "@weave_protocol/adapter-opencode" to plugin in opencode.json. It's live-checked in OpenCode 1.19.5: a read of a denied file and a write outside the allowed folder were both blocked.
@weave_protocol/adapter-codex enforces WARD.md in OpenAI's Codex CLI through its PreToolUse hook. It checks shell commands, MCP calls, and the files each apply_patch edit touches. It's live-checked in Codex CLI 0.166.0: a denied cat and a denied apply_patch were both blocked. Set it up with weave-ward-codex init, then trust the hook with /hooks in Codex.
@weave_protocol/adapter-geminicli enforces the same WARD.md in Gemini CLI through its BeforeTool hook. npm i -g @weave_protocol/adapter-geminicli && weave-gemini init sets it up. It's live-checked in Gemini CLI 0.66.0, where a read of a denied file was blocked before the model saw it.
The operator dashboard (@weave_protocol/api 1.4.0) now shows what your agents actually did. Hundredmen, the Claude Code / Antigravity / MSAF adapters and the browser guard report each decision to the API once you set WEAVE_DASHBOARD_URL (and WEAVE_API_KEY) where your agents run. Only the decision and the tool name o
Solo se muestra el principio; lee el resto en el repo