AgentSeal

Overview

AgentSeal is an open-source toolkit for probing AI prompts, checking MCP servers and monitoring agent configurations. It is best suited to teams that want security checks in CI or a local, offline workflow. Its mix of prompt testing and continuous monitoring is useful, though the free plan’s 30 basic probes are a much smaller starting point than the 311 probes tied to Pro.

For a wider category comparison, see AI Red Teaming Tools.

Key features

Prompt testing and monitoring

The CLI runs adversarial probes against system prompts to identify extraction and instruction-injection vulnerabilities. Coverage spans prompt extraction, instruction injection, data exfiltration, MCP tool poisoning, RAG poisoning and multimodal attacks. That breadth makes AgentSeal relevant to more than prompt-only checks, but the free plan’s 30 basic probes offer a narrower assessment than Pro’s 311.

Guard scans agent configurations and skill files on a machine; Watch monitors those files and MCP configurations for changes. Continuous monitoring can help teams catch configuration drift between scans, rather than relying only on periodic checks.

MCP checks and registry

Scan-MCP runs MCP servers in a sandbox and tests tool behavior with adversarial payloads. OAuth support extends runtime scanning to authenticated remote servers, a Pro capability that matters to teams working with remote MCP services. The MCP registry subjects each listed server to a seven-stage security pipeline, including sandboxing and probing.

Workflow, providers and privacy

AgentSeal supports SARIF 2.1.0, JUnit XML, GitHub Actions summaries and policy-as-code rules for gating pull requests. These outputs make it a practical fit for CI workflows that need scan results in familiar formats or checks that can block a change.

The CLI supports Ollama, OpenAI, Anthropic Claude, OpenRouter, Google Gemini, DeepSeek, Groq, Together AI, LM Studio, llama.cpp, vLLM and compatible OpenAI chat API endpoints. Prompts go directly from the CLI to the user’s LLM provider; prompts and model configurations synced to the dashboard are encrypted at rest with Fernet (AES-256). The CLI can also run fully offline with a local Ollama model, with zero network calls and zero telemetry, which suits users who want local-only operation.

The CLI installs with pip, and an npm wrapper is available for Node projects and CI pipelines. The CLI requires Python 3.10 or higher; the npm wrapper shells out to the Python CLI, so it does not remove that dependency. The dashboard provides scan results, prompt management, security monitoring and GitHub integration settings.

Pricing

Free is a meaningful starting point for local checks and core monitoring, but its 30 basic probes limit scan breadth. Pro is aimed at teams that need the full probe set, authenticated remote MCP scanning, PDF reports or dashboard access. Pro has custom pricing, so teams should weigh those additions against their budget before choosing it.

Platforms

AgentSeal supports API, Linux, macOS, web and Windows. Its hybrid deployment and continuous monitoring suit teams combining local CLI work with dashboard-based oversight.

Who it's for

AgentSeal is a strong fit for developers and security teams checking prompts, agent files or MCP servers as part of CI, and for users who need an offline local-Ollama option. It is less suitable for buyers who need known Pro pricing before evaluating the full feature set, or whose work can be covered by the free plan’s smaller probe allowance.

Pros and cons

• Pros: The free plan includes Guard, Watch and an MCP registry alongside 30 basic probes, so core monitoring does not require a paid tier.
• Pros: CI-friendly SARIF, JUnit XML, GitHub summaries and policy-as-code rules support automated reporting and pull-request gating.
• Pros: Offline use with local Ollama and zero network calls or telemetry supports local-only workflows.
• Cons: Free’s 30 basic probes are substantially fewer than Pro’s 311, limiting coverage for teams that need the broader test set.
• Cons: Pro’s price is custom, making its cost harder to assess before purchase.
• Cons: The npm wrapper still requires Python 3.10 or higher because it invokes the Python CLI.

Alternatives

OpenSecureAI Scanner is worth considering if a stated paid price matters: its Pro plan is $49 a month and includes 50,000 API requests per month, 120 requests per minute per key, hosted AI remediation and LLM Gateway completions, and priority email support.

Promptfoo may suit teams that prioritize a published free allowance and broad evaluation integrations: its Community plan is free and includes 10k red-team probes per month, all LLM evaluation features and model providers and integrations, with local or self-hosted runs.

RedAmon is an alternative for users seeking a free, MIT-licensed self-hosted option with a Docker stack for commercial or personal use.

garak is a free, open-source tool for readers who want a simpler alternative without a paid plan.

Confident AI offers a free plan capped at two user seats, one project, five test runs per week and 1 GB-month of trace spans; it may suit teams whose needs fit within those limits.

Darkhunt AI Security is another freemium option, with a free credit allotment, full platform access, community support and no card required on its free plan.

Giskard is a free-plan alternative for users seeking an open-source library, local deployment and basic LLM vulnerability scanning and RAG evaluation.

NVADER is a web-based alternative with a free plan.

Verdict

Choose AgentSeal if your security workflow needs adversarial prompt checks, MCP scanning and ongoing monitoring, especially in CI or offline with local Ollama. Its strongest case is the combination of automated CI outputs and local-first operation; its main drawback is the gap between Free’s 30 probes and Pro’s 311, compounded by custom Pro pricing. Teams that need broad coverage should evaluate Pro, while those with modest scanning needs can begin with Free.