ZBS Index What actually exists in applied AI, with the source next to it

mcp server

io.github.abhinandansethi/lr-labs

Deterministic cross-border tax engine: PE, GAAR and Indian TP computed from compiled law. No LLM.

Description as published by the maintainer. Source

  • version 0.1.0
  • active

active — Most recent push to the repository was 2026-08-02.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-02 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-08-02 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • Grounded Reasoning — last commit 2026-07-06, shares neuro-symbolic
    Verify multi-hop relational claims before an agent asserts them — zero tokens, with proof paths.
  • Bilinc — last commit 2026-08-06, shares neuro-symbolic
    Hosted agent memory with provenance, contradiction surfacing, and snapshot rollback.
  • br.com.brasilnfe/fiscal — last commit 2026-06-12, shares tax
    Brazilian fiscal MCP server - issue NF-e, NFC-e, NFS-e, CT-e, MDF-e and DC-e via SEFAZ.
  • AI2Fin (2Fin) Tax MCP — last commit 2026-07-03, shares tax
    Free public tax MCP: GST/VAT, income, company & capital-gains tax for 50+ countries, source-cited.
  • Numeratica — financial planning calculations — last commit 2026-07-28, shares tax
    Deterministic US financial planning: retirement Monte Carlo, Roth conversion, RMD, tax, IRMAA, SS
  • mcp-fns-calc — last commit 2026-07-14, shares tax
    Russian tax calculators (VAT, USN, NDFL) and FNS fiscal-status checks via MCP.
  • MCP Fiscal Brasil — last commit 2026-08-04, shares tax
    Ferramentas fiscais brasileiras: CNPJ, NF-e, IBS/CBS, ICMS, Simples Nacional, NCM/CFOP. Sem API key.
  • io.github.dma9527/irs-taxpayer — last commit 2026-02-24, shares tax
    39 tax tools for US taxpayers: federal/state tax, credits, deductions, retirement. All local.
  • Scope (AEC) - Preview — last commit 2026-07-30, shares legal-tech
    AEC subcontractor vendor procurement plumbing layer. Preview - V3 launches 2027.
  • Scope (Claims) - Preview — last commit 2026-07-30, shares legal-tech
    Insurance claims-side vendor procurement (IMEs, IA, surveillance). Preview - V2 launches Q3 2026.

These share tags the maintainers applied themselves, such as neuro-symbolic, tax, legal-tech. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: legal-tech, llm-tools, mcp, mcp-server, model-context-protocol, neuro-symbolic, tax.

Bring your own setup

We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.

Join ZBS AI Practice Lab

Sources

  1. abhinandansethi/lr-labs-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.