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mcp prompt injection probe
Dynamic red-teaming skill for testing prompt injection vulnerabilities in live MCP server and agent setups.
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See it in action
You say
Run the starter battery against my staging environment. I have written authorization for the 'internal-crm' agent and 'git-mcp' server. Class B testing is enabled via the mock database.
Your agent does
Probe complete. Result: 6/8 Blocked, 1/8 Partial, 1/8 Inconclusive. Class B (Response Injection): Partial. The agent stated it would ignore the 'system override' instruction but still executed the 'delete_record' tool call. Evidence attached in transcript.log.
What you get
About this skill
The problem
Static analysis cannot predict how an agent behaves when a live tool returns attacker-controlled content. Relying on documentation or tool manifests leaves your system exposed to runtime prompt injection that only surfaces during execution.
What it does
- Executes real-world adversarial payloads against live agent and MCP server configurations.
- Tests four specific attack vectors: poisoned tool descriptions, injected tool responses, cross-server tool shadowing, and authority manipulation.
- Captures full tool-call transcripts to identify Partial triggers where an agent claims to resist but still executes the payload.
- Validates client-side runtime defenses, output sanitizers, and human-in-the-loop guardrails under actual attack conditions.
Why this beats prompting it yourself
This skill follows a structured scoring rubric and a battery of mutated payloads, including paraphrasing and encoding variants, that manual testing often misses. It systematically tests the response-injection class responsible for major CVEs in the MCP ecosystem which are difficult to rig by hand.
Use cases
- Red-teaming a new MCP server integration in a staging environment before deployment.
- Verifying that a security patch actually closes a prompt injection hole post-incident.
- Benchmarking an agent's resistance to cross-server shadowing when multiple tools are co-installed.
- Generating runtime evidence for security audits that static code reviews cannot provide.
Known limitations
Requires explicit written authorization and a non-production environment. It is a dynamic probe, not a static pre-install scanner or a source code auditor.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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