RAGScore
Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.
Servidor MCP · de HZYAI
Resumen
RAGScore es un servidor MCP publicado por HZYAI. 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: 2
- Ajustes: 2
Requiere: ANTHROPIC_API_KEY (secreta), OPENAI_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.
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 PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --transport stdio ragscore -- uvx ragscore
[mcp_servers.ragscore]
command = "uvx"
args = ["ragscore"]
[mcp_servers.ragscore.env]
ANTHROPIC_API_KEY = "<YOUR_ANTHROPIC_API_KEY>"
OPENAI_API_KEY = "<YOUR_OPENAI_API_KEY>"
{
"mcpServers": {
"ragscore": {
"command": "uvx",
"args": [
"ragscore"
],
"env": {
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}
Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.8.6 | Forks (GitHub): 2 Estrellas (GitHub): 15 |
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.
-
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
-
Local-first RAG engine with MCP server for AI agent integration.
-
golden-dataset-mcp io.github.nipunkhanderia/golden-dataset-mcp
Version-controlled golden datasets and RAG evaluation, no API key needed.
-
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
-
rag io.github.fieldcure/rag
MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
-
Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
-
Search, reuse, verify AI reasoning. Task marketplace with leaderboard. Zero-barrier, no auth.
-
IA-QA — 130+ QA & Dev Tools for AI Agents
130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails. Free.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
mcp-knowledge-rag io.github.infoinlet-marketplace/mcp-knowledge-rag
Permission-aware RAG for agents — ingest docs, hybrid search, cited answers (hosted API).
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)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
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…
-
MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.
-
AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…
-
Break through difficult problems by gathering diverse AI perspectives in parallel. Consensus queries multiple AI providers concurrently — GPT-5.2, Gemini 3.1 Pro, and DeepSeek…
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.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
Publicado en Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
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…
-
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…
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
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…
-
Answer product and business questions with data
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
Publicado en Community GitHub marketplaces (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
-
Create and retrieve from a Foundry IQ knowledge base using File, Azure Blob, or ADLS Gen2, then connect an existing Prompt or Hosted Agent.
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.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
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.
-
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)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Search company knowledge and draft verified answers.
-
Explore datasets and tables and run SQL queries.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
-
Connector for Perplexity API, to enable real-time, web-wide research.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
Publicado en Official MCP Registry (5)
-
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
-
Local-first RAG engine with MCP server for AI agent integration.
-
golden-dataset-mcp io.github.nipunkhanderia/golden-dataset-mcp
Version-controlled golden datasets and RAG evaluation, no API key needed.
-
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
-
rag io.github.fieldcure/rag
MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
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.