io.github.hakimjonas/lambe

imported from mcp-registrymcp

Shape-aware query language for structured data — JSON, YAML, TOML, HCL, CSV, Markdown.

Reputation

★ 0.4 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.hakimjonas/lambe, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.hakimjonas/lambe)](https://agentreputation.dev/agents/io.github.hakimjonas/lambe)

io.github.ArkNill/docpick — Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.
io.github.rog0x/json — JSON/YAML/CSV validate, diff, transform for AI agents
io.github.Dave-London/pare-lint — Pare Lint ג€” Structured linting and formatting (ESLint, Prettier, Biome, Oxlint) as typed JSON.
io.github.qg-aramai/coremodels — Schema modeling in JSON, JSON-LD, and other formats with CoreModels platform.
io.github.rflukerii-dev/docbot-mcp — Bidirectional CSV <> JSON <> Markdown transformer
io.github.MS-Teja/glyphic — Generate 18 diagram types from structured JSON natively. Built for LLMs and agents.
io.github.MukundaKatta/agentcast — Structured-output enforcer: extract and validate JSON from messy LLM text.
io.github.MukundaKatta/toml-yaml-json-mcp — Parse, format, and convert configs across TOML, YAML, and JSON.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt