Walk-Forward Validator
Walk-Forward Efficiency, parameter-stability scoring, and WFO window generation.
Servidor MCP · de tylerscomic-lab
Resumo
Walk-Forward Validator é um servidor MCP publicado por tylerscomic-lab. 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 2026-10-13.
O que pede
- Roda remotamente
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.
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 remoto
Gerado a partir do que Official MCP Registry declara.
claude mcp add --transport http walkforward-validator-mcp https://walkforward-validator-mcp.mcpize.run/mcp
[mcp_servers.walkforward-validator-mcp]
url = "https://walkforward-validator-mcp.mcpize.run/mcp"
{
"mcpServers": {
"walkforward-validator-mcp": {
"url": "https://walkforward-validator-mcp.mcpize.run/mcp"
}
}
}
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.0.0 | Forks (GitHub): 0 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.
-
Verify trading-strategy backtests: look-ahead probes, trading costs, Deflated Sharpe, walk-forward.
-
Monte Carlo Backtest Validator
Bootstrap Monte Carlo backtest validation and prop-firm challenge pass-probability simulation.
-
regimen io.github.RaYYeR220/regimen
Tells you whether a trading strategy's edge is distinguishable from luck.
-
Deterministic stock screening, backtesting, and factor analysis for AI trading agents
-
Crypto backtesting & Bitcoin cycle analytics. Point-in-time, DSR-corrected, look-ahead-aware.
-
Pancake — Verifiable Backtests for AI Agents
Verifiable backtests for AI-built trading strategies: deterministic engine, reproducible results.
-
grader ai.tessen/grader
Honest A-F grades for trading strategies, backtested on real out-of-sample data. No hype.
-
alphalabs-intelligence io.github.Pak209/alphalabs-intelligence
Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.
-
okama-mcp io.github.mbk-dev/okama-mcp
Portfolio analytics via the okama library: backtests, Monte Carlo, efficient frontier, PNG charts
-
trkr io.github.trkr-ai/trkr
Stress-test portfolios against hundreds of regime-aware simulated futures for real markets.
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)
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
Persistent memory + autonomous strategy evolution for AI traders. Records every trade with full context across 5 memory layers (episodic, semantic, procedural, strategic…
-
Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
Listado em Claude Code: claude-plugins-official (5)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
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…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
Listado em Claude: knowledge-work-plugins (5)
-
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…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Portfolio monitoring, valuations and analytics for private-capital GP teams using the Chronograph connector: portfolio-company one-pagers, fund quarterly review packs…
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…
-
Predict structures, screen molecules and proteins, and design binders.
-
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)
-
Finds what shipped after your coding agent's training, before it rebuilds it from scratch.
-
Check classifier confidence against accuracy, fit temperature scaling and save local reports.
-
ai-architect-mcp-spec io.github.cdeust/ai-architect-mcp-spec
PRD verification and host-driven generation with multi-judge consensus across 17 MCP tools.
-
Run bounded, deterministic MCP reliability tests and generate executable regressions.
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
Listado em Copilot CLI: github/awesome-copilot (5)
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
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…
Listado em Copilot CLI: github/copilot-plugins (5)
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Analyze MSVC build performance using vcperf.exe and ETL traces.
-
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…
Listado em Cursor: cursor/plugins (5)
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
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.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on…
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in…
Listado em Official MCP Registry (5)
-
Verify trading-strategy backtests: look-ahead probes, trading costs, Deflated Sharpe, walk-forward.
-
Monte Carlo Backtest Validator
Bootstrap Monte Carlo backtest validation and prop-firm challenge pass-probability simulation.
-
regimen io.github.RaYYeR220/regimen
Tells you whether a trading strategy's edge is distinguishable from luck.
-
Deterministic stock screening, backtesting, and factor analysis for AI trading agents
-
Crypto backtesting & Bitcoin cycle analytics. Point-in-time, DSR-corrected, look-ahead-aware.
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.