io.github.agenson-horrowitz/structured-data-validator
Validate, transform, and normalize structured data for AI agents.
Servidor MCP · de agenson-horrowitz
Resumo
io.github.agenson-horrowitz/structured-data-validator é um servidor MCP publicado por agenson-horrowitz. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). Vimos pela primeira vez em 2026-10-11 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-12.
O que pede
- Roda na sua máquina
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Pacote
- Downloads do npm por semana: 43 (2026-10-12)
- Downloads do npm por mês: 284 (2026-10-12)
- Última versão no npm: 1.0.8, publicada em 2026-04-02
Os dados do npm vêm do registro público do npm (registry.npmjs.org, api.npmjs.org). Cada número é do próprio registro e nunca é somado a outro. Um registro que não publica um número não mostra nenhum: sem número não é zero.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Um link de um clique abre o cliente, que pede confirmação antes de adicionar o servidor.
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como servidor MCP local: pacote npm
Gerado a partir do que Official MCP Registry declara.
claude mcp add --transport stdio structured-data-validator -- npx -y @agenson-horrowitz/structured-data-validator-mcp[mcp_servers.structured-data-validator]
command = "npx"
args = ["-y", "@agenson-horrowitz/structured-data-validator-mcp"]{
"mcpServers": {
"structured-data-validator": {
"command": "npx",
"args": [
"-y",
"@agenson-horrowitz/structured-data-validator-mcp"
]
}
}
}Não guardamos argumentos de inicialização. Se o servidor precisar de algum, a própria documentação dele os indica.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.0.8 | Downloads por mês (npm): 284 Downloads por semana (npm): 43 Forks (GitHub): 1 Estrelas (GitHub): 0 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que mudou
Nada mudou neste plugin desde que começamos a acompanhá-lo.
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
300+ deterministic data utilities for AI agents: validate, normalize, parse, match, redact.
-
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
-
json io.github.rog0x/json
JSON/YAML/CSV validate, diff, transform for AI agents
-
jsonaut io.github.shoggi211/jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
-
mcp com.sequentum/mcp
Turn the web into structured, reliable, actionable enterprise data for AI Agents
-
understand-quickly io.github.looptech-ai/understand-quickly
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
-
json-repair-mcp io.github.grupoanesthy-spec/json-repair-mcp
Repairs malformed JSON from LLM output, validated against a schema. Paid per call via Stripe.
-
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
-
schema-validator-ai-mcp io.github.CSOAI-ORG/schema-validator-ai-mcp
Schema Validator Ai MCP Server by MEOK AI Labs
-
Clean raw HTML into LLM-ready text before agents spend tokens.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
AI-native ontology engineering with 39 MCP tools backed by an in-memory Oxigraph triple store. Build, validate, query, and govern RDF/OWL ontologies using a…
-
Honeydew AI plugins for semantic data modeling and data analysis — 9 skills, 3 hooks, multi-platform support.
-
Compliance-first LLM gateway for Claude Code. Policy-as-code enforcement (YAML policy definitions), tamper-evident audit trails, PII redaction, token budget enforcement, and…
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
Stop wasting tokens on things free APIs can answer instantly. A cross-platform MCP server that turns public APIs into clean, agent-ready tools.
Listado em Claude Code: claude-plugins-official (5)
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Claude: knowledge-work-plugins (5)
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Listado em Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Answer product and business questions with data
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Listado em Community GitHub marketplaces (5)
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
Create and retrieve from a Foundry IQ knowledge base using File, Azure Blob, or ADLS Gen2, then connect an existing Prompt or Hosted Agent.
Listado em Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Listado em Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Enrich people and companies, run AI research agents.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Browse and automate the web with TinyFish: run multi-step web automations, search the web, extract clean page content, and drive remote stealth browser sessions.
Listado em Docker MCP Catalog (5)
-
Analyze documents, images, videos, and audio.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
scrapegraph-mcp io.github.ScrapeGraphAI/scrapegraph-mcp
AI-powered web scraping and data extraction capabilities through ScrapeGraph API
-
Production-ready RAG service to search and retrieve data from your documents.
-
Bridges n8n's workflow automation platform with AI models, providing access to 543 n8n nodes, workflow templates, and AI-capable automation tools.
Listado em Official MCP Registry (5)
-
300+ deterministic data utilities for AI agents: validate, normalize, parse, match, redact.
-
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
-
json io.github.rog0x/json
JSON/YAML/CSV validate, diff, transform for AI agents
-
jsonaut io.github.shoggi211/jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
-
mcp com.sequentum/mcp
Turn the web into structured, reliable, actionable enterprise data for AI Agents
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Este plugin é seu?
Adicione-o aos seus projetos e prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS. Você recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.