AgentGuard — security checks for AI agents
Secret, CVE and dependency-vulnerability scanning for AI agents (free, OSV.dev).
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
ghcr.io/shuaicongxiaomai/agentguard:0.1.2claude mcp add agentguard-security-checks-for-ai-agents -- docker run -i --rm ghcr.io/shuaicongxiaomai/agentguard:0.1.2
{
"mcpServers": {
"agentguard-security-checks-for-ai-agents": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/shuaicongxiaomai/agentguard:0.1.2"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
AgentGuard — security checks for AI agents (MCP server)
A free, open-source, single-binary MCP server that gives any AI agent (Claude Desktop, Cursor, Claude Code, …) security checks in the loop:
| Tool | What it does | Data source |
|---|---|---|
scan_secrets | Flags hard-coded secrets (API keys, tokens, private keys) in text/code/diffs before the agent commits, logs, or sends them. Runs locally; values are masked. | local (regex + entropy) |
check_cve | Whether a specific package version has known CVEs, with severity + fixed version. | OSV.dev (free) |
scan_dependencies | Scans a go.mod / package.json / requirements.txt and reports every vulnerable pinned dependency. | OSV.dev (free) |
No API key, no account, no telemetry. Everything runs locally except CVE lookups, which hit the free public OSV.dev API.
Install
Pick whichever fits your setup. All three give the same stdio MCP server.
Docker (no Go toolchain needed)
docker run -i --rm ghcr.io/shuaicongxiaomai/agentguard:latest demo
MCP client config (mcpServers block in Claude Desktop / Cursor / Claude Code):
{
"mcpServers": {
"agentguard": {
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/shuaicongxiaomai/agentguard:latest"]
}
}
}
Go install
go install github.com/shuaicongxiaomai/agentguard@latest
{ "mcpServers": { "agentguard": { "command": "agentguard" } } }
Prebuilt binary
Download the archive for your OS/arch from the Releases
page, extract it, and point the config command at the absolute path to the binary.
Build from source
go build -o agentguard . # append .exe on Windows
Three ways to run it
1. demo — see it work, zero config:
agentguard demo
Runs all three tools on sample inputs and prints the results.
2. stdio (default) — local use; the MCP client launches the binary. No port; the client manages its lifecycle. Use any of the configs above, then ask your agent: "scan this for secrets", "is lodash 4.17.20 vulnerable?", "check my package.json for vulnerable deps."
3. serve — Streamable HTTP service on a port (for a hosted/remote server):
agentguard serve :8080 # or set PORT=8080
# health: GET http://host:8080/healthz
# MCP URL: POST http://host:8080/mcp (clients connect to this URL)
Use stdio for local use; use serve when you want a hosted server users connect to by URL
without installing anything.
Notes
scan_secretsruns locally and never returns raw secret values — only masked previews.scan_dependenciescaps at 200 deps per call and queries OSV concurrently.check_cve/scan_dependenciesneed network access to OSV.dev;scan_secretsis fully offline.
License
MIT.
Frequently asked questions
What is AgentGuard — security checks for AI agents?
Secret, CVE and dependency-vulnerability scanning for AI agents (free, OSV.dev).
How do I install AgentGuard — security checks for AI agents?
It runs on your machine. In Claude Code: claude mcp add agentguard-security-checks-for-ai-agents -- docker run -i --rm ghcr.io/shuaicongxiaomai/agentguard:0.1.2. For other clients, paste the JSON configuration from this page into their MCP settings.
Does AgentGuard — security checks for AI agents need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is AgentGuard — security checks for AI agents open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains AgentGuard — security checks for AI agents?
It is published by shuaicongxiaomai. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.