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Alternatives to Legalithm

  • A
    license
    A
    quality
    D
    maintenance
    MCP server for EU AI Act compliance classification with multi-jurisdiction overlay across 8 frameworks (NIST AI RMF, ISO 42001, GDPR, HIPAA, Colorado SB 24-205). Provides deterministic risk classifier (quick_risk_class) and Claude-powered Annex III deep classifier (classify_annex3) with remediation actions.
    2
    6 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables querying EU legal documents, case law, and citation graphs through natural language using the LexAPI.
    10
    303 npm
    3
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to classify AI systems against the EU AI Act with requirement checklists and penalty exposure, generate and validate Factur-X / EN 16931 electronic invoices, and assess GDPR and NIS2 readiness directly from the IDE. Runs as a zero-dependency Python stdio server for Claude Desktop, Cursor, and similar clients.
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables EU AI Act compliance assessment by classifying AI systems, listing obligations, computing deadlines, and scanning repos for required documentation, all running locally.
    4
    2
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    40 regulation-and-deadline linters (CRA/CSAF, PCI DSS 6.4.3, WCAG 2.1 AA, DORA, NIS2, EU AI Act, KSeF, NF-e) that AI agents call over MCP. Free checks on the open file; licence key unlocks workspace scan and CI exit code.
    3
    -
  • A
    license
    A
    quality
    F
    maintenance
    Query 37 EU regulations — from GDPR and AI Act to DORA, MiFID II, eIDAS, Medical Device Regulation, and more — directly from Claude, Cursor, or any MCP-compatible client.
    14
    190 npm
    25
    Apache 2.0

TDQS

A3.9/5.0

Scored across 7 tools

Disambiguation4/5

Each tool addresses a distinct task: classification, obligation lookup, disclosure generation, agent-specific disclosure, code-surface discovery, taxonomy reference, and record lookup. The mild ambiguity between generate_disclosure and generate_agent_disclosure is resolved by their clear scope descriptions, so agents should rarely misselect.

Naming Consistency4/5

Six of seven tools follow a clear verb_noun snake_case pattern: classify, explain_obligation, generate_disclosure, check_record, generate_agent_disclosure, and discover_ai_surfaces. agent_disclosure_taxonomy breaks the verb convention by starting with a noun, but it is still consistent in style and predictable.

Tool Count5/5

Seven tools is well-scoped for an EU AI Act compliance assistant: classification, obligations, disclosure generation, agent disclosure, code analysis, taxonomy reference, and record lookup. Each tool earns its place, and the count is neither bloated nor thin.

Completeness4/5

The core workflow—classify a use case, look up obligations, generate the correct disclosure, analyze code surfaces, and check a compliance record—is covered. Minor gaps exist, such as no create/update path for Trust Center records and no broader EU AI Act article search, but agents can complete the main intended tasks without dead ends.

Maintenance

ActivityNo data
ResponsivenessSyncing