
AgentSeal
8.0#2 in ai red teaming toolsFrom $19 a monthFree planWebAPILinuxmacOS
Visit
| Fact | AgentSeal | Prompt Fuzzer |
|---|---|---|
| Attack coverage | Pro adds 45 MCP-poisoning, 28 RAG-poisoning, and 13 multimodal probes plus behavioral genome mapping. | The repository lists 16 attack types, including jailbreak, prompt injection, RAG poisoning, and system prompt extraction. |
| Installation | The project publishes installation through pip and npm packages. | The repository instructs users to install the tool with pip and requires Python 3.10 or newer. |
| LLM providers | The site lists Ollama, OpenAI, Anthropic Claude, OpenRouter, Google Gemini, DeepSeek, Groq, Together AI, LM Studio, llama.cpp, vLLM, and compatible OpenAI chat API endpoints. | The repository lists support for 16 LLM providers, including OpenAI, Anthropic, Azure OpenAI, Cohere, Google PaLM, and Ollama. |
| Purpose | AgentSeal is an open-source security scanner and toolkit for testing AI agent prompts, auditing MCP servers, and detecting agent vulnerabilities. | Prompt Fuzzer tests and hardens the system prompts of AI applications against vulnerabilities. |
No prices published.
AgentSeal suits teams assessing prompt and MCP-related security, including those integrating scans into CI. Its offline CLI option may suit users working with a local Ollama model.
It is aimed at developers building generative AI, LLM-based, or RAG applications who want to assess prompt resilience. It may also suit teams that need custom or self-hosted LLM endpoints.