io.github.abhinandansethi/lr-labs MCP Server

io.github.abhinandansethi/lr-labs

What is the io.github.abhinandansethi/lr-labs MCP server?

Deterministic cross-border tax engine: PE, GAAR, Indian TP, rule-level lookup. Compiled law, no LLM.

Copy-paste configuration for popular MCP clients.

transport: http

Config generated by PluginBench — verify against the source before use.

~/.cursor/mcp.json

{
  "mcpServers": {
    "lr-labs": {
      "url": "https://lrlabs.ai/mcp"
    }
  }
}

Persistent AI memory with shared team workspaces, typed knowledge chunks, and cross-tool support.

Maintained

The static analyzer your AI agent reads — fix-ready, machine-readable scan reports over MCP.

JavaScript

MIT

Maintained

Productivity-boosting RAG engine for codebases with multi-provider AI support and semantic search.

Python

MIT

Stale

Control Apache Airflow via Claude and Cursor with read/write access to DAGs, tasks, connections, and more.

Python

MIT

Active

MCP server for SWAPI API

HTML

Active

Read-only MCP server for AgentLoopKit tasks, policies, reports, handoffs, and status.

TypeScript

MIT