io.github.TheBarmaEffect/glassbox-framework
Runtime constitutional verification for AI answers — claim reasoning, ECS, red team, audits.
Servidor MCP · de TheBarmaEffect
Resumen
io.github.TheBarmaEffect/glassbox-framework es un servidor MCP publicado por TheBarmaEffect. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-13.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 1
- Ajustes: 4
Requiere: ANTHROPIC_API_KEY (secreta)
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Paquete
npm @glassbox-framework/mcp (@glassbox-framework/mcp en npm)
- Descargas de npm por semana: 39 (2026-10-12)
- Descargas de npm por mes: 174 (2026-10-12)
- Última versión en npm: 1.0.3, publicada el 2026-05-25
- La versión declarada 1.0.3 no figura en npm
Los datos de npm proceden del registro público de npm (registry.npmjs.org, api.npmjs.org). Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP local: paquete npm
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --transport stdio glassbox-framework -- npx -y @glassbox-framework/mcp
[mcp_servers.glassbox-framework]
command = "npx"
args = ["-y", "@glassbox-framework/mcp"]
[mcp_servers.glassbox-framework.env]
ANTHROPIC_API_KEY = "<YOUR_ANTHROPIC_API_KEY>"
{
"mcpServers": {
"glassbox-framework": {
"command": "npx",
"args": [
"-y",
"@glassbox-framework/mcp"
],
"env": {
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>"
}
}
}
}
Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Ajustes opcionales que también indica: GLASSBOX_ECS_MODE, GLASSBOX_MAX_TOKENS, GLASSBOX_MODEL.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.0.3 | Descargas por mes (npm): 174 Descargas por semana (npm): 39 Forks (GitHub): 0 Estrellas (GitHub): 11 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
Audit infrastructure for AI coding agents with evidence-backed review and policy gates.
-
Verify AI answers and executions and seal signed, offline-verifiable evidence records.
-
aiglare io.github.nugehs/aiglare
Audit AI/LLM features for governance guardrails: confidence, fallback, validation, human-in-loop.
-
Machine-verifiable authorization checks for autonomous AI agents.
-
hrevn-mcp-server io.github.ai-human-andalusia/hrevn-mcp-server
HREVN trust layer for baseline diagnostics and verifiable workflow integrity for AI agents.
-
governance-platform ai.geodesiclabs/governance-platform
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
-
veris io.github.vighriday/veris
Behavioral verification intelligence for AI coding agents. 17 MCP tools. Local-first. MIT.
-
perf-mcp io.github.Perf-AI/perf-mcp
Fact-check and fix AI outputs. Hallucination detection, schema validation, auto-repair.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
-
mcp-server io.vivioo/mcp-server
Trust infrastructure for AI agents. Directory, jobs, verification, and 360 feedback.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
eu-ai-act-compliance-mcp io.github.CSOAI-ORG/eu-ai-act-compliance-mcp
Eu Ai Act Compliance MCP Server by MEOK AI Labs
-
VerifiedX helps Claude install and verify action protection in existing AI systems with minimal code changes. It inspects a repo, detects the smallest real integration seam such…
-
Description: Spec-driven audit enforcement for AI coding agents. Intercepts every phase transition with a mandatory audit loop. It builds a requirement ledger from your spec…
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
evalview-mcp io.github.hidai25/evalview-mcp
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
Publicado en Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Set up endorctl and use Endor Labs to scan, prioritize, and fix security risks across your software supply chain
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
Publicado en Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
The Vanta plugin connects Claude Code to Vanta's security and compliance platform through the Vanta MCP server. It combines Vanta's test-specific remediation intelligence with…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
Publicado en Codex: openai-curated (openai/plugins) (5)
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
Publicado en Community GitHub marketplaces (5)
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
inquisitor io.github.1111111111111111111114oLvT2/inquisitor
Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
Publicado en 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.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Publicado en Cursor: cursor/plugins (5)
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Thermo-nuclear branch review: deep security/correctness audits, harsh code-quality rubrics, parallel subagents, thermos orchestration, and optional merge-ready PR flows.
Publicado en Docker MCP Catalog (5)
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Publicado en Official MCP Registry (5)
-
Audit infrastructure for AI coding agents with evidence-backed review and policy gates.
-
Verify AI answers and executions and seal signed, offline-verifiable evidence records.
-
aiglare io.github.nugehs/aiglare
Audit AI/LLM features for governance guardrails: confidence, fallback, validation, human-in-loop.
-
Machine-verifiable authorization checks for autonomous AI agents.
-
hrevn-mcp-server io.github.ai-human-andalusia/hrevn-mcp-server
HREVN trust layer for baseline diagnostics and verifiable workflow integrity for AI agents.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.