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- AlicenseAqualityCmaintenanceSafety checks an agent runs before it acts — flags malicious packages, destructive shell commands, secret leaks, and web-backend holes before execution.826 PyPIMIT

presend-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to vet npm and PyPI packages before installation, reporting typosquats, vulnerabilities in the selected version, publisher changes, and names that don't exist or were published within the last 30 days. It also exposes DNS, WHOIS, email, JWT and file/image utilities as tools over Streamable HTTP, with no signup or API key required.MIT- AlicenseNot gradedqualityAmaintenanceEnables users to scan untrusted text, files, and directory trees for prompt-injection patterns and receive severity-ranked, explainable verdicts before content reaches an agent. It runs locally and returns clean, review, or blocked verdicts for safer agent input.1MIT
- AlicenseAqualityAmaintenanceLocal security layer for coding agents: keeps secret values out of what Claude Code, Codex CLI, Cursor and OpenCode send to their model, and checks untrusted text for prompt injection. MIT, runs on your machine, no account.42MIT
- AlicenseBqualityDmaintenanceProvides local, dependency-free security scanning tools for LLM configurations, prompts, RAG sources, and more, enabling AI coding agents to detect prompt injections and other vulnerabilities without external network access.8MIT
- AlicenseNot gradedqualityBmaintenanceEnables developers and AI coding agents to vet npm packages before installation by checking existence, lookalike names, package age, install scripts, maintainers, downloads, and advisories, returning GO, RISKY, FAKE, or MISSING. It also scans a project's package.json for worst-first dependency verdicts and can run as a CLI or stdio MCP server.MIT
TDQS
Scored across 4 tools
Each tool targets a distinct artifact and pre-action check: untrusted text, npm package, wallet/token address, and address comparison. An agent can tell them apart without ambiguity.
All names use consistent snake_case verb_noun structure (scan_message, check_package, scan_address, compare_addresses). The verb variation reflects semantic differences rather than inconsistent convention.
Four tools is well scoped for a focused pre-action security toolkit. Each covers a separate risk surface and there is no filler.
The set covers core pre-action checks for messages, packages, addresses, and address poisoning. Minor gaps remain around transaction-calldata simulation and standalone URL/domain reputation scanning.