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quantakrypto

quantakrypto pqc-tools

by quantakrypto

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Alternatives to quantakrypto pqc-tools

  • A
    license
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    C
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    Enables AI assistants to perform quantum-resistant cryptographic operations using NIST-standardized algorithms including ML-KEM, ML-DSA, and SPHINCS+. Supports key generation, encryption, digital signatures, and security analysis for post-quantum cryptography research and development.
    1
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  • A
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    A
    quality
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    Enables AI agents to sign decisions with post-quantum cryptographic proofs and maintain secure audit trails for compliance. It provides tools for stamping events, verifying chain integrity, and exporting audit data across industries like finance and healthcare.
    4
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  • A
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    An MCP server that scans local codebases for quantum-vulnerable cryptography (secp256k1, Ed25519, RSA, etc.) and CI signing commands, classifying each finding as quantum-broken, post-quantum, or neither. It runs entirely locally with no network calls, providing a deterministic inventory for AI agents.
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  • A
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    Enables MCP-compatible AI agents to scan code for leaked secrets, copyleft licenses, unprotected routes, missing privacy policies, and risky card handling before committing or shipping.
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  • A
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    MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and CycloneDX 1.6 SBOM generation. Zero runtime dependencies.
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  • F
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    Enables AI agents to perform comprehensive, zero-infrastructure codebase analysis through 24 MCP tools, covering security, quality, architecture, type safety, git history, and dead code detection with high precision and local privacy.
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    Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.
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  • A
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    Security scanning for AI coding tools (Claude Code, Cursor, Windsurf) including secrets detection, MCP config vulnerabilities, agent instruction checks, threat modeling, prompt injection testing, pre-commit security checks, and dependency vulnerability scanning.
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TDQS

A4/5.0

Scored across 16 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: scanning, explaining, fixing, triaging, or probing. Despite overlapping input types (e.g., multiple scanning tools), their outputs differ significantly (CBOM, inventory, plan, findings). Descriptions are detailed enough to prevent ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., generate_cbom, scan_path, verify_fix). No mixing of conventions or vague verbs, making the naming predictable and readable.

Tool Count4/5

With 16 tools, the server is slightly above the typical 3-15 range for a well-scoped set. However, each tool fulfills a specific function in the PQC readiness workflow, so the count is justified and not excessive.

Completeness5/5

The tool surface covers the full lifecycle: scanning, inventory, planning, explaining, dependency checking, fixing, verification, triage, and endpoint probing. No obvious gaps exist for the stated domain of post-quantum readiness assessment and migration.

Maintenance

ActivitySlowing
ResponsivenessUnresponsive