empirica-mcp
MCP server for Empirica — AI measurement and calibration tools via Model Context Protocol
Servidor MCP · de EmpiricaAI
Resumo
empirica-mcp é um servidor MCP publicado por EmpiricaAI. Marketplaces que lemos e que o listam: 1 (PyPI (MCP servers)). A última mudança que registramos foi em 2026-10-31. Conforme nossa passagem pelos marketplaces em 2026-10-31.
O que pede
- Roda na sua máquina
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.
Pacote
PyPI empirica-mcp (empirica-mcp no PyPI)
- Downloads do PyPI por semana: 884 (2026-10-31)
- Downloads do PyPI por mês: 5 093 (2026-10-31)
- Última versão no PyPI: 1.14.19, publicada em 2026-10-30
Os dados do PyPI vêm do pypi.org e os downloads do PyPI do pypistats.org. Cada número é do próprio registro e nunca é somado a outro. Um registro que não publica um número não mostra nenhum: sem número não é zero.
Conectar
Sem dados para um comando automático: o que os marketplaces declaram não diz de forma inequívoca como conectá-lo.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| PyPI (MCP servers) (Abrir no PyPI) | Listado | 1.14.19 | Downloads por mês (PyPI): 5 093 Downloads por semana (PyPI): 884 Forks (GitHub): 32 Estrelas (GitHub): 253 |
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
- PyPI (MCP servers): lançou a versão 1.14.19 (antes 1.14.18)
- PyPI (MCP servers): lançou a versão 1.14.18 (antes 1.14.17)
- PyPI (MCP servers): lançou a versão 1.14.17 (antes 1.14.14)
- PyPI (MCP servers): lançou a versão 1.14.14 (antes 1.14.13)
- PyPI (MCP servers): lançou a versão 1.14.13 (antes 1.14.12)
- PyPI (MCP servers): lançou a versão 1.14.12 (antes 1.14.11)
- PyPI (MCP servers): lançou a versão 1.14.11 (antes 1.14.10)
- PyPI (MCP servers): lançou a versão 1.14.10 (antes 1.14.9)
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.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
-
anotherai dev.anotherai/anotherai
MCP server for building and testing AI agents with multi-model experimentation and insights.
-
pramana-mcp io.github.loopg/pramana-mcp
Read your recorded AI agent runs, and what changed when you swapped a model or prompt.
-
MCP bridge that folds multiple MCP servers' capabilities into a few fixed tools for AI tools.
-
llmtest-mcp io.github.tjacquesson/llmtest-mcp
Benchmark AI models on real prompts. Find cheaper, faster alternatives across 340+ models.
-
120+ developer utility tools for AI agents via Model Context Protocol
-
AI Briefing MCP — Keep AI models current on industry developments
-
performance-ai-mcp io.github.CSOAI-ORG/performance-ai-mcp
Performance Ai MCP Server by MEOK AI Labs
-
evalscopebench-mcp com.clauxel.evalscopebench/evalscopebench-mcp
A paid remote MCP for AI SDK benchmark dashboard, built to return verdicts, receipts, usage logs, an
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)
-
eu-ai-act-compliance-mcp io.github.CSOAI-ORG/eu-ai-act-compliance-mcp
Eu Ai Act Compliance MCP Server by MEOK AI Labs
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
Listado em Claude Code: claude-plugins-official (5)
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform…
-
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)
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, 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.
-
MCP server for terminal commands, file operations, and process management
Listado em Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Predict structures, screen molecules and proteins, and design binders.
-
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)
-
Build high-quality MCP servers for LLM integrations
-
mcp-builder-anthropic
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers…
-
Build agents, MCP servers and tool-using workflows.
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
One system around coding agents to run, verify, recover, and hand off software work.
Listado em Copilot CLI: github/awesome-copilot (5)
-
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…
-
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…
-
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform…
-
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.
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Listado em Cursor: cursor/plugins (5)
-
Let Grok Bot reach MCP servers on your private Tailscale network: connect your own tailnet, or your team's company tailnets turned on by a team admin, with each member using their…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Build apps, scripts, and automations with the TypeScript SDK.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Give your AI agents trusted access to the full Postman platform.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
Listado em Official MCP Registry (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
-
anotherai dev.anotherai/anotherai
MCP server for building and testing AI agents with multi-model experimentation and insights.
-
pramana-mcp io.github.loopg/pramana-mcp
Read your recorded AI agent runs, and what changed when you swapped a model or prompt.
-
MCP bridge that folds multiple MCP servers' capabilities into a few fixed tools for AI tools.
Listado em PyPI (MCP servers) (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
Hanzo MCP Server - Unified tool surface with AI, cloud control, vector search, and multi-framework UI
-
mcp-openai io.github.AceDataCloud/mcp-openai
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
-
replicate com.mcparmory/replicate
Run AI models, create deployments, and manage predictions via cloud API
Listado em npm registry (MCP servers) (5)
-
The MCP server inside the Pipelex plugin: validate, prepare and run AI methods on Pipelex from a coding agent.
-
Hanzo MCP Server - Unified tool surface with AI, cloud control, vector search, and multi-framework UI
-
SquadRules MCP server for agent automation: persistent memory and deterministic workflow execution for AI agents and chats
-
ateam-mcp io.github.ariekogan/ateam-mcp
Build, validate, and deploy multi-agent AI solutions from any AI environment.
-
Host-side Model Context Protocol client for TanStack AI: discover and run MCP server tools, resources, and prompts in any adapter's chat loop, with generated end-to-end types.
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 PyPI (MCP servers). Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.