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The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool arguments, A2A payloads for OWASP LLM01 prompt injection BEFORE they reach a downstream agent. Curated from OWASP + academia + production incidents.

Project description

Agent Prompt Injection Firewall MCP

PyPI Python MCPize

WAF for AI agents — block prompt injection before it reaches the LLM

Agents that blindly forward user input + retrieved documents to other agents are the #1 production AI vulnerability (OWASP LLM01). This MCP is the pre-flight gate.

By MEOK AI Labs.

Quick Install

Client Install
Claude Desktop Install in Claude
Cursor Install in Cursor
VS Code Install in VS Code
Windsurf Install in Windsurf
Docker docker run -p 8000:8000 agent-prompt-injection-firewall-mcp
pip pip install agent-prompt-injection-firewall-mcp

Install

pip install agent-prompt-injection-firewall-mcp

Tools

  • scan_prompt
  • define_custom_rule
  • list_rules
  • scan_log
  • sign_firewall_attestation

Claude Desktop

{
  "mcpServers": {
    "agentpromptinjectionfirewall": { "command": "agent-prompt-injection-firewall-mcp" }
  }
}

Tiers

  • Free — generous daily limit (100-1,000 depending on operation)
  • Pro £199/mo — unlimited + signed HMAC attestations with public verify URLs — subscribe
  • Enterprise £1,499/mo — multi-tenant + custom predicate DSL + SIEM webhook push — subscribe

Why this exists

The EU AI Act (Aug 2026), DORA (live), ISO 42001, and OWASP LLM01 Top-10 all demand runtime controls for agent systems — not just deployment-time audits. This MCP is that runtime control layer, emitting cryptographically signed evidence your auditor accepts.

Related MEOK A2A MCPs

License

MIT — MEOK AI Labs, 2026.

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