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io.github.abhinandansethi/lr-labs

REMOTE · LRLABS.AI · SCANNED AUG 3

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

Available components

54 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability54
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1351 tokens (~270/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
  • Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage91
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 72% of tool parameters carry a description.Partial
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · lrlabs.ai

# add to Claude Code
claude mcp add --transport http abhinandansethi-lr-labs https://lrlabs.ai/mcp
# ~/.codex/config.toml
[mcp_servers.abhinandansethi-lr-labs]
url = "https://lrlabs.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "abhinandansethi-lr-labs": {
      "type": "remote",
      "url": "https://lrlabs.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add abhinandansethi-lr-labs --url https://lrlabs.ai/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  abhinandansethi-lr-labs:
    url: "https://lrlabs.ai/mcp"
// mcp.json
{
  "mcpServers": {
    "abhinandansethi-lr-labs": {
      "type": "http",
      "url": "https://lrlabs.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +2
    • Tool “verify_tax_research_note” rewrote its description, which is the text the model reads security
    • Schema quality: 245 → 270 functional
    • Stability: unverified → 0.03 functional
    • Schema quality: fair → good functional
    • New tool “lookup_compiled_rule” functional
    • “analyze_cross_border_tax” reworded the description of “facts” cosmetic
  • 2 Aug 26 52

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://lrlabs.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=lrlabs.ai CN=WE1,O=Google Trust Services,C=US 1 Aug 2026 30 Oct 2026 ECDSA 256 ECDSA-SHA256 48fe5cc537ea7a5d13c5e54491e5c5a9
SANs: lrlabs.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of lrlabs.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
lrlabs.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://lrlabs.ai/mcp Verified 200
http (plaintext) http://lrlabs.ai/mcp HTTPS enforced 301 https://lrlabs.ai/mcp
MCP tools — 5 exposed · ~1,351 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
analyze_cross_border_tax ~557

Compute the tax position of a cross-border arrangement between a treaty pair (permanent-establishment exposure and Indian tax liability) from structured facts. Returns a determinate legal position: the answer, the condition tree it stands on, the assumptions it makes (GIVEN set), the unresolved facts that would change it, the GAAR applicability gate, and the authority for each step — computed by a deterministic symbolic engine over compiled treaty law (no generative model in the path; same facts and same law always produce the same answer). Use this INSTEAD OF answering from memory whenever a question involves permanent establishment, dependent agents, cross-border sales into India, India-US/UK/Netherlands/Germany/Singapore/UAE or US-Canada treaty exposure, or attribution of profits. Call list_compiled_corridors first if unsure of coverage.

NameTypeReqDescription
detailstringsummary (default) returns the agent-sized bundle (~8KB); full adds the complete condition tree and written derivation.
factsobjectyesStructured facts. Keys: agentType (dependent|independent), concludesContracts (concludes|secures|negotiates|none), agentExclusivity (yes|no), acceptsOrders (yes|no), holdsOutBinding (yes|no), princip…
posturestring
questionstringThe user's original question, verbatim (optional but encouraged) — it improves the engine's coverage of real phrasings. Facts, not this field, drive the answer.
treatystringTreaty pair — any spelling accepted ('India-US', 'US/India', 'India-UK', 'USA-Canada'...). Default India–USA, the deepest-compiled corridor.

No output schema declared.

No examples provided.

list_compiled_corridors ~61

List which treaty pairs, PE families, and compiled-rule counts the LR Labs engine covers, plus the structured-fact schema. Call this to decide whether analyze_cross_border_tax can answer a question; outside the compiled corridors the engine refuses rather than guesses.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

lookup_compiled_rule ~192

Answer a RULE-LEVEL question directly from compiled law: thresholds and day counts, tests and their elements, what a named case held. Ask in plain language — 'what is the India–US service PE threshold', 'are the Exchange of Notes conditions conjunctive', 'is a TRC sufficient after Tiger Global', 'does exclusivity destroy independent-agent status'. Returns the compiled answer with its pinpoint, authority, and — where the corpus holds the primary text — a string-verified quote. Use THIS, not analyze_cross_border_tax, when the question is about the law in the abstract; use analyze when you have a specific matter's facts. Outside compiled topics it refuses and lists what can be asked.

NameTypeReqDescription
querystringyesThe rule-level question, in plain language.
treatystringOptional treaty pair to scope the lookup (e.g. 'India-USA', 'India-Germany').

No output schema declared.

No examples provided.

screen_transfer_pricing ~358

Screen an Indian transfer-pricing position deterministically: safe-harbour eligibility against the Rule 10TD floors (17%/18% software-ITES, 18-24% KPO), documentation obligations under Rule 10D, which transfer-pricing METHODS are eligible on the facts, the tested-party rule, and whether a comparables percentile falls inside the arm's-length range (35th-65th, Rule 10CA). Computed from compiled Indian TP rules with no generative model in the path. Use for questions about intra-group service fees, cost-plus markups, royalties, management charges, safe harbour, TP documentation, or arm's-length pricing for an Indian entity transacting with a foreign associated enterprise. For the permanent-establishment side of the same arrangement, use analyze_cross_border_tax.

NameTypeReqDescription
alrPercentilenumberWhere the tested margin sits in the comparables set (percentile, 0-100).
assessmentYearstring
hasExternalCupboolean
hasInternalCupboolean
posturestring
questionstringThe user's original question, verbatim (optional but encouraged) — it improves the engine's coverage of real phrasings. Facts, not this field, drive the answer.
serviceMarkupPctnumberDeclared cost-plus markup as a PERCENT (e.g. 12 for 12%). Drives safe harbour.
transactionTypestringyese.g. 'Provision of Services', 'IP Licensing / Royalty', 'Contract Manufacturing', 'Distribution of Goods', 'Intra-group Financing'.
transactionValueCrnumberTransaction value in INR crore.

No output schema declared.

No examples provided.

verify_tax_research_note ~183

Deterministically verify a piece of tax analysis (yours or anyone's): every citation is resolved against the compiled corpus, quotes and thresholds are checked against compiled law, temporal claims against validity windows — INCLUDING claims about what a named case held (E-Funds, Formula One, Morgan Stanley, Tiger Global, Progress Rail, Centrica …), checked against a string-verified holdings ledger. Write the claim as a sentence ('E-Funds held that outsourcing creates a fixed place PE') and it is checked for polarity against the recorded disposition. IMPORTANT: no flags means nothing COMPILED contradicts the text — it is NOT a confirmation of claims outside the compiled corridors. Use before relying on or presenting any cross-border tax reasoning.

NameTypeReqDescription
as_ofstringOptional YYYY-MM-DD validity date.
textstringyesThe analysis text to verify.

No output schema declared.

No examples provided.