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- mcp prompt injection probe
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mcp prompt injection probe
Dynamic red-teaming skill for testing prompt injection vulnerabilities in live MCP server and agent setups.
$18
mcp prompt injection probe
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the mcp prompt injection
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.
Connects securely to your tools. The creator never sees your data.
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 use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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