Skip to main content

UK street works compliance. Section 50 licences, S58 deferral, S74 overrun penalties, NRSWA accreditation tracking.

Project description

NRSWA (New Roads & Street Works Act) MCP

Buy Starter — £29/mo

Signed attestations + unlimited audits + email support. 👉 Subscribe at meok.ai — instant HMAC signing key + Stripe-managed billing.

Free tier remains MIT-licensed and zero-config. Upgrade only when you need signed compliance artefacts for audit.

PyPI License: MIT MEOK AI Labs

UK street works compliance. Section 50 licences, S58 deferral, S74 overrun penalties, NRSWA accreditation tracking.

Install

pip install nrswa-ai-mcp

Tools

Tool Purpose
check_s50_licence Section 50 street works licence application requirements
classify_works Major / Minor / Standard / Immediate works classification
calculate_s74_overrun Section 74 overrun penalty calculator
nrswa_accreditation_check Operative + supervisor accreditation status
noticing_timeline Statutory noticing periods and deadlines

Pricing

  • Free: 10 calls/day
  • Pro £79/mo: unlimited + signed attestations. Subscribe
  • Enterprise £1,499/mo: white-label + on-premise. hello@meok.ai

Pairs with meok-attestation-api for cryptographically signed compliance certificates.

License

MIT © MEOK AI Labs

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nrswa_ai_mcp-1.0.2.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nrswa_ai_mcp-1.0.2-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file nrswa_ai_mcp-1.0.2.tar.gz.

File metadata

  • Download URL: nrswa_ai_mcp-1.0.2.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for nrswa_ai_mcp-1.0.2.tar.gz
Algorithm Hash digest
SHA256 fbc73349ad89013ae4ba68e6b02171e9b96ebd94a6ec620c3012c151502b8df0
MD5 cda6f971ccf3619069aec5b472d5e273
BLAKE2b-256 b200f8f5c23a0668d7d0b8fa6f661bd8ea9d6b4a1c797dcc745e771cc08cdc39

See more details on using hashes here.

File details

Details for the file nrswa_ai_mcp-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: nrswa_ai_mcp-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for nrswa_ai_mcp-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 85ee842e1a4de3fb841ba1582876342f1c27073491b09bbe527b3379511d1253
MD5 39afabe41bdc6fe2e149fd2767c9a412
BLAKE2b-256 6a70bcdab560a0ba58564f945ea5caf0fb4c7d3ee2551ee51d7fa89ca264671b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page