Assessment Intelligence
Analyse tests for item quality, true ability, reliability and learner mastery.
Servidor MCP · de saifs.ai
Resumo
Assessment Intelligence é um servidor MCP publicado por saifs.ai. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-11-06. Conforme nossa passagem pelos marketplaces em 2026-11-06.
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 assessment-intelligence https://assessment-intelligence-mcp.saifs.ai/mcp[mcp_servers.assessment-intelligence]
url = "https://assessment-intelligence-mcp.saifs.ai/mcp"{
"mcpServers": {
"assessment-intelligence": {
"url": "https://assessment-intelligence-mcp.saifs.ai/mcp"
}
}
}Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 1.0.1 | Forks (GitHub): 1 Estrelas (GitHub): 4 |
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.
Como os números mudaram
- 2026-10-294
- 2026-11-064
Cada ponto é um dia em que lemos um número diferente; os trechos planos são dias em que o número não mudou. Números de marketplaces diferentes nunca são somados.
O que mudou
- Official MCP Registry: lançou a versão 1.0.1 (antes 1.0.0)
- Official MCP Registry: repositório ou pacote mudou
- Passou a ser um produto que acompanhamos
- Official MCP Registry: apareceu
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.
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ictexam-mcp io.github.ictinnovations/ictexam-mcp
Read exams, gradebooks and item analysis; parse papers with AI and publish exams.
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spec-score-mcp io.github.openpoem/spec-score-mcp
Score your specs before feeding them to an LLM. MCP server with radar chart visualization.
-
Remote MCP server for deterministic educational practice-assessment score conversions.
-
Quantabble — AP Science Misconception Diagnostics
Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.
-
Wellemo — online tests and quizzes
Create online knowledge tests and quizzes, share a link, see results. Search ready-made tests.
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lekta dev.lekta/lekta
Audits how AI answer engines read a page and grades it A+ to F across four measured layers.
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Create, edit and publish scored quizzes and read results from any MCP client. Free plan included.
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Build datasets and rubrics, then run evals that score your AI in Caliper.
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Read-only, deterministic AI triage and readiness tools implementing Sophon's published rubrics.
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paperee-mcp kr.co.paperee/paperee-mcp
Create AI-generated exam questions and save them to your paperee question bank for review.
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)
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AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…
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Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded…
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Convergent Socratic interview with mathematical ambiguity gating. 8-15 narrowing rounds + Contrarian/Simplifier Challenge Mode + JSONL decision log. Inspired by Sorbh/interview-me.
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evalview-mcp io.github.hidai25/evalview-mcp
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
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A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
Listado em Claude Code: claude-plugins-official (5)
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Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
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Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
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Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
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Detect an MCP server's language (Python, TypeScript or Go) and instrument it with the matching Pendo SDK so MCP tool calls flow into Pendo Agent Analytics.
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Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
Listado em Claude: knowledge-work-plugins (5)
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Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
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Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
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DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
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A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
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Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
Listado em Codex: openai-curated (openai/plugins) (5)
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
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Answer product and business questions with data
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Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
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Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Listado em Community GitHub marketplaces (4)
-
Measure AI output quality, user satisfaction, task success, and design effectiveness.
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AI agent evaluation toolkit for Copilot Studio. Plan evals, generate test cases, interpret results, and triage failures.
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Skill evaluation and benchmarking - test skill effectiveness with behavioral eval cases, grade results, and track quality improvements
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Agent skills for observing and evaluating LLM applications with LangSmith
Listado em Copilot CLI: github/awesome-copilot (5)
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Codebase-grounded concept-mastery quizzes with an interactive BrainMax Canvas dashboard.
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Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
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Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
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A comprehensive collection of specialized agents for software analysis, impact assessment, structural quality advisories, and architectural review using CAST Imaging.
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Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
Listado em Copilot CLI: github/copilot-plugins (5)
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Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
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workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
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workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
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Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
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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)
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Skill mapping, practice plans, and learning retrospectives.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
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Inspect and manage feature gates, experiments, dynamic configs, and metrics.
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playwright-mcp io.github.microsoft/playwright-mcp
Playwright Tools for MCP
-
Query and remediate compliance tests, controls, frameworks, risks, and vulnerabilities in Vanta.
Listado em Docker MCP Catalog (5)
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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in…
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MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
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Analyze code quality and security with SonarQube Server or Cloud directly in AI assistants.
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The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
Listado em Official MCP Registry (5)
-
ictexam-mcp io.github.ictinnovations/ictexam-mcp
Read exams, gradebooks and item analysis; parse papers with AI and publish exams.
-
spec-score-mcp io.github.openpoem/spec-score-mcp
Score your specs before feeding them to an LLM. MCP server with radar chart visualization.
-
Remote MCP server for deterministic educational practice-assessment score conversions.
-
Quantabble — AP Science Misconception Diagnostics
Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.
-
Wellemo — online tests and quizzes
Create online knowledge tests and quizzes, share a link, see results. Search ready-made tests.
Listado em PyPI (MCP servers) (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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Judgment calls on small, cheap models: is this spam, which team, how urgent. YES, NO or UNSURE.
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MCP server for Empirica — AI measurement and calibration tools via Model Context Protocol
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Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
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Langfuse MCP server for accessing and analyzing telemetry data via natural language
Listado em npm registry (MCP servers) (5)
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Hire human data labelers, RLHF annotators, and evaluators from your coding agent.
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Typed AI judgments for agents: choice, score, and yes/no probabilities instead of prose.
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Read-only MCP server exposing the dsh-plugin-certification registry for DeepSeek Harness plugins.
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Find test gaps, generate grounded tests, and dynamically prove behavior with mutation testing.
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140 deterministic tools for your AI: logs, tests, SQL, diagrams, SPARQL. Local, no network.
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.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também 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.