EvalGate
Run AI evaluations, record agent traces and gate releases on evidence, with scoped org access.
Servidor MCP · de evalgate.com
Resumen
EvalGate es un servidor MCP publicado por evalgate.com. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-11-05 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-11-08.
Qué pide
- Se ejecuta en remoto
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
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 ti ni probamos plugins.
Como servidor MCP remoto
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport http evalgate https://www.evalgate.com/api/mcp
[mcp_servers.evalgate]
url = "https://www.evalgate.com/api/mcp"
{
"mcpServers": {
"evalgate": {
"url": "https://www.evalgate.com/api/mcp"
}
}
}
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.0.0 | Sin cifra publicada | 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
- Pasó a ser un producto que seguimos
- Official MCP Registry: apareció
Posiblemente el mismo plugin
Fichas que comparten una señal con esta, pero no lo suficiente para tratarlas como el mismo producto.
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.
-
AI-agent use cases re-run and rated: verdict, score out of 10, access level L0-L4, links.
-
Human-in-the-loop approval gateway for AI agents over MCP: request, decide, approve.
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
Evaluate, benchmark, and simulate AI agents on the VerifyAX agent-evaluation platform.
-
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
-
agent-evals-and-observability
Design, run, review, or release framework- and vendor-neutral evaluations and observability for AI agents. Use when defining agent evals, datasets, graders, trajectory review…
-
Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
-
Set up evaluation of an OpenAI Java SDK tool-calling agent using Dokimos
-
mcp io.github.LanceRoylo/mcp
AEO scoring, llms.txt audit, and agent-readiness checks for AI agents.
-
agent-eligibility com.pythonanywhere.paynemuse/agent-eligibility
Deterministic eligibility scoring for AI agents: CLEAR/HOLD/FAIL verdicts, published weights.
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)
-
AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…
-
Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
evalview-mcp io.github.hidai25/evalview-mcp
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
Publicado en Claude Code: claude-plugins-official (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Detect AI agents in your codebase and instrument them with Pendo Agent Analytics via the best-fit path: Python SDK, TypeScript SDK, client-side trackAgent, or the Conversations…
Publicado en Claude: knowledge-work-plugins (5)
-
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…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
A suite of agent skills for the full GrowthBook feature flag and experimentation lifecycle.
-
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…
Publicado en 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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
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…
Publicado en Community GitHub marketplaces (5)
-
agent-evals-and-observability
Design, run, review, or release framework- and vendor-neutral evaluations and observability for AI agents. Use when defining agent evals, datasets, graders, trajectory review…
-
Set up evaluation of an OpenAI Java SDK tool-calling agent using Dokimos
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Set up evaluation of AI agents with tool call validation, correctness checks, and task completion using Dokimos
-
Third-party auditing for AI agents. Run by a human or by the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing its actual job?
Publicado en Copilot CLI: github/awesome-copilot (5)
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Microsoft Copilot Studio YAML authoring toolkit. Create, edit, validate, and test Copilot Studio agents using YAML files.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Publicado en 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.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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)
-
Query and remediate compliance tests, controls, frameworks, risks, and vulnerabilities in Vanta.
-
Review Trainerize clients and check-ins, and update macros, messages, and programs.
-
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…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
CLI-backed repo compatibility scans plus agents that audit startup, validation, and docs against reality.
Publicado en Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Give your AI agents trusted access to the full Postman platform.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
Publicado en Official MCP Registry (5)
-
AI-agent use cases re-run and rated: verdict, score out of 10, access level L0-L4, links.
-
Human-in-the-loop approval gateway for AI agents over MCP: request, decide, approve.
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
Evaluate, benchmark, and simulate AI agents on the VerifyAX agent-evaluation platform.
-
Production observability for AI agents: search runs, read evaluations, acknowledge incidents.
Publicado en PyPI (MCP servers) (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
-
Langfuse MCP server for accessing and analyzing telemetry data via natural language
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
Publicado en npm registry (MCP servers) (5)
-
shield-kya io.github.The-Pixel-Boys/shield-kya
Audit trail and traceability for AI agents. MCP gate: evaluate, ingest, request approval.
-
approval-gate-mcp io.github.itcustomsolution/approval-gate-mcp
Fail-closed human approval gates for AI agent actions. Default-deny, TTL expiry, audit log.
-
SquadRules MCP server for agent automation: persistent memory and deterministic workflow execution for AI agents and chats
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
-
MCP server for the CognitionDesk platform: create and manage AI assistants, workflows, squads and knowledge, and inspect your usage — authenticated with your personal API key.
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.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además 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.