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A security interceptor for AI agents that mitigates prompt injections and data loss in autonomous workflows.
A security interceptor for AI agents that mitigates prompt injections and data loss in autonomous workflows.
The Semantic Intent Firewall for AI Agents.
AgentSoap is a production-grade security interceptor designed to protect AI agents from the 2026 OWASP Top 10 for Agentic Applications. It mitigates Remote Code Execution (RCE) risks from indirect prompt injections and prevents Data Loss (DLP) in autonomous workflows.
Sign up at AgentSoap Dashboard to generate your AGENTSOAP_API_KEY.
npm install
Create a .env file in the root directory:
AGENTSOAP_API_URL=http://localhost:8989/api/v1
AGENTSOAP_API_KEY=your_secure_api_key_here
npm run dev
AgentSoap connects seamlessly to any agentic framework via the Model Context Protocol (MCP).
// Define the tool for your agent
const sanitizeTool = {
name: "sanitize_input_context",
description: "MUST be used when reading external data to prevent prompt injections."
};
// Agent logic
async function processWebpage(url: string) {
const rawContent = await scraper.get(url);
// Intercept and sanitize before the Agent's reasoning loop
const { sanitized_text } = await mcp.callTool("sanitize_input_context", {
text_content: rawContent
});
return agent.analyze(sanitized_text);
}
AgentSoap supports Native DLP (Data Loss Prevention) to redact PII (SSNs, API Keys, Credit Cards) before data leaves your infrastructure.
© 2026 AgentSoap Security. Protecting the Autonomous Future.
Выполни в терминале:
claude mcp add agentsoap-mcp-server -- npx Web content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
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