Prompt Rejector MCP (revsmoke/promptrejectormcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 11 tools. No publisher has claimed this listing.
Protects AI agents from prompt injection attacks, jailbreak attempts, and common web vulnerabilities by screening untrusted input through semantic LLM analysis and static pattern matching.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
How we verified
Verified is a snapshot. Live keeps it current, and builds your track record.
⚡ Connect GitHub → continuous verification on every pushwhy connect →Who stands behind it
revsmoke
Source: Glama
Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →
Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
check_promptCheck a user prompt for injection attacks and traditional vulnerabilities (XSS, SQLi). Use this before processing any untrusted user input.
scan_skillScan a SKILL.md file for security vulnerabilities including prompt injection, malicious tool usage, data exfiltration attempts, and social engineering. Use this before installing any third-party skills.
list_patternsList detection patterns from the pattern library. Optionally filter by category.
update_vuln_feedsScan NVD and GitHub Advisory databases for new vulnerabilities and generate candidate detection patterns. Candidates are staged for review before activation.
verify_pattern_integrityVerify the integrity of the pattern library by checking file hashes against the manifest and validating the HMAC signature.
scan_mcp_toolLint an MCP tool descriptor for tool-poisoning signals (imperative override language, hidden Unicode) and compute a canonical SHA-256 hash; reports descriptor drift when a priorHash is supplied.
check_lethal_trifectaAnalyze an agent/skill capability set for the lethal trifecta (private-data read + untrusted-content fetch + external egress).
query_cveUnified read across NVD, OSV, GHSA, KEV, and ATLAS feeds for AI-relevant CVEs.
deploy_canaryIssue a canary token to embed in memory/RAG context for later echo-detection.
verify_canaryCheck provided content for echoes of previously-issued canary tokens (memory/RAG poisoning signal).
taste_testDetonate a suspect prompt in a dual-agent sandbox (Taster + Monitor) and return the Monitor's verdict on observed intent.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
ANTHROPIC_API_KEYCANARY_DEFAULT_TTL_SECONDSCANARY_HMAC_SECRETCORS_ORIGINGEMINI_API_KEYecho "=your_key_here" > .envGITHUB_TOKENGHSA GraphQL v1.1.0 securityVulnerabilities query with ecosystem filter — richer metadata than REST, requiresHF_TOKENNVD_API_KEYyour_nvd_keyPATTERN_INTEGRITY_SECRETFalls back to when unsetSTART_MODETASTE_TESTER_ENABLEDTASTE_TESTER_MAX_TOKENSTASTE_TESTER_MAX_TURNSTASTE_TESTER_MODELclaude-opus-4-7TASTE_TESTER_TIMEOUT_MSPORTTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
11/11 tools missing one or more hints — check_prompt (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); scan_skill (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_patterns (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +8 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
Shell command execution
2 child_process calls — runs shell commands
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
Production dependencies are patched
0 critical, 1 high severity in production deps — @modelcontextprotocol/sdk@1.25.3 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.
[](https://m8ven.ai/mcp/revsmoke/promptrejectormcp)?variant=verified from the URL.Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.
https://m8ven.ai/api/mcp/tool-check