CSOAI-ORG

OWASP Agentic AI MCP

Community CSOAI-ORG
Updated

OWASP Top 10 for Agentic AI security MCP server — prompt injection detection, tool poisoning, excessive agency, data leakage assessment

MCP RegistryPyPI

PyPIDownloadsGitHub starsLicense: MIT

OWASP Agentic AI MCP

Security assessment against the OWASP Top 10 for Agentic AI (2025). Prompt injection detection, tool poisoning checks, excessive agency evaluation, and data leakage analysis.

MEOK AI Labs

Install · Tools · Pricing · Attestation API

Why This Exists

The OWASP Top 10 for Agentic AI (released 2025) defines the ten most critical security risks for AI agents that can take actions, use tools, and operate autonomously. As organisations deploy MCP servers, LangChain agents, and autonomous AI workflows, these systems face attack vectors that traditional AppSec testing does not cover.

Prompt injection, tool poisoning, excessive agency, and cross-context data leakage are not theoretical: they are actively exploited. CISOs and security teams need a structured way to assess agentic AI deployments against the OWASP classification. This MCP evaluates your agent architecture against all 10 risk categories and produces actionable findings.

Install

pip install owasp-agentic-mcp

Tools

Tool OWASP Reference What it does
assess_agent_security All 10 risks Full security posture assessment against OWASP Top 10 for Agentic AI
check_prompt_injection Risk A01 Detect prompt injection attack vectors in agent inputs
check_tool_poisoning Risk A02 Evaluate tool definitions and MCP configs for poisoning risks
check_excessive_agency Risk A03 Assess whether agent has more permissions than needed
check_data_leakage Risk A06 Identify cross-context data leakage paths in agent workflows

Example

Prompt: "Assess the security of our customer support AI agent.
It has access to 12 MCP tools including database queries, email
sending, and file system access. It operates on user prompts
with no input sanitisation."

Result: Assessment across all 10 OWASP Agentic AI risks with critical
findings: A01 prompt injection (no input sanitisation on user prompts),
A02 tool poisoning (3 MCP tools loaded without integrity checks),
A03 excessive agency (file system + email + database = over-privileged),
A06 data leakage (database query results passed through to email tool
without redaction). Remediation priorities and control recommendations
provided for each finding.

Pricing

Tier Price What you get
Free £0 10 calls/day — agent security assessment
Pro £199/mo Unlimited + HMAC-signed attestations + verify URLs
Enterprise £1,499/mo Multi-tenant + co-branded reports + webhooks

Subscribe to Pro · Enterprise

Attestation API

Every Pro/Enterprise audit produces a cryptographically signed certificate:

POST https://meok-attestation-api.vercel.app/sign
GET  https://meok-attestation-api.vercel.app/verify/{cert_id}

Zero-dep verifier: pip install meok-attestation-verify

Links

License

MIT

MCP Server · Populars

MCP Server · New

    adelinamart

    RoBrain

    Shared memory across your team and your AI agents — with judgment about what's worth keeping.

    Community adelinamart
    Lyellr88

    MARM: Local-First Persistent Multi-Agent Memory Layer for MCP Clients v2.20.0

    Self-hosted, local-first MCP memory server for AI agents. Sub-20ms recall at 10k memories, hybrid semantic + exact-syntax search (RAG), code & concept knowledge graphs (158 languages). All local in SQLite: no cloud, no vector DB, no API keys. Works with Claude Code, Codex, Cursor, Gemini & any MCP client.

    Community Lyellr88
    Bumblebiber

    hmem — Humanlike Memory for AI Agents

    Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.

    Community Bumblebiber
    firish

    Claude Code for Visual Studio

    Bring Claude Code to Visual Studio 2026: A native diff with accept/reject, a live debugger Claude can drive autonomously, Roslyn code navigation, and Test Explorer integration. The IDE half of Claude Code's integration protocol. Community-built, unofficial.

    Community firish
    uiNerd16

    @aicanvas/mcp

    Open-source React and Tailwind component marketplace. Install via the shadcn CLI or your AI editor over MCP, with reproduction prompts for Claude Code, Lovable, and V0.

    Community uiNerd16