MCP Scanner is a Python tool that examines Model Context Protocol servers and tools for security findings and potential threats. It can run as a command-line tool or REST API and uses YARA rules, LLM analysis, Cisco AI Defense, dependency checks, and other scans.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/cisco-ai-defense/mcp-scannerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/cisco-ai-defense/mcp-scanner/scan-behavioral)<a href="https://agentmods.dev/commands/cisco-ai-defense/mcp-scanner/scan-behavioral"><img src="https://agentmods.dev/badge/commands/cisco-ai-defense/mcp-scanner/scan-behavioral/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/cisco-ai-defense/mcp-scanner/scan-behavioral"><img src="https://agentmods.dev/badge/commands/cisco-ai-defense/mcp-scanner/scan-behavioral.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00150 |
| Opus 5 | $0.00008 | $0.00075 |
| Sonnet 5 | $0.00003 | $0.00030 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
scan-behavioral scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Behavioral Code Analysis
Perform behavioral analysis on the MCP server source code at "$ARGUMENTS" to detect:
- Mismatches between docstring claims and actual implementation
- Hidden malicious behaviors
- Security vulnerabilities in the code
Run the following command:
mcp-scanner behavioral "$ARGUMENTS" --format detailed
If the path is not provided, ask the user for the path to the MCP server source code file or directory.
This analysis requires the LLM analyzer, so ensure MCP_SCANNER_LLM_API_KEY is set.
After scanning, explain any behavioral mismatches found and their potential security implications.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 22 lines · 16 tokens per session scan A 9073de139fb3
scan-behavioral is a command published in the GitHub repository cisco-ai-defense/mcp-scanner (1,066 stars, last pushed 4d ago), licensed Apache-2.0. It adds 16 tokens to every session and 150 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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