SAGE — Solver-Augmented Grounding Engine
LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.
Servidor MCP · de pragnakar
Resumen
SAGE — Solver-Augmented Grounding Engine es un servidor MCP publicado por pragnakar. 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 2026-10-14.
Qué pide
- Se ejecuta en tu equipo
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.
Paquete
PyPI sage-solver-mcp (sage-solver-mcp en PyPI)
- Descargas de PyPI por semana: 14 (2026-10-13)
- Descargas de PyPI por mes: 62 (2026-10-13)
- Última versión en PyPI: 0.1.3, publicada el 2026-03-07
Sin vulnerabilidades conocidas en OSV para 0.1.1 (comprobado el 2026-10-14)
Los datos de PyPI proceden de pypi.org y las descargas de PyPI de pypistats.org. Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero. Los registros de vulnerabilidades proceden de OSV.dev (CC BY 4.0) y solo se refieren a la versión declarada; un listado sin versión declarada no recibe respuesta. No analizamos código.
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 local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio sage-solver-mcp -- uvx sage-solver-mcp[mcp_servers.sage-solver-mcp]
command = "uvx"
args = ["sage-solver-mcp"]{
"mcpServers": {
"sage-solver-mcp": {
"command": "uvx",
"args": [
"sage-solver-mcp"
]
}
}
}Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.1.1 | Descargas por mes (PyPI): 62 Descargas por semana (PyPI): 14 Forks (GitHub): 0 Estrellas (GitHub): 0 |
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.
-
Debug and explain LP/MILP models: why infeasible, the smallest fix, what-if and sensitivity.
-
mcp com.crisphive/mcp
Field operations on a deterministic solver — run jobs, crews & fleet from Claude or ChatGPT.
-
Optimization middleware for AI agents: JSON problem in, verified and ranked solutions out.
-
Cost-optimized LLM model routing recommendations for autonomous AI agents
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
sagemath-mcp-server io.github.justice8096/sagemath-mcp-server
MCP server wrapping SageMath's full computer algebra system — 10 symbolic-math tools for LLMs.
-
Stateful SageMath MCP server with 40 tools and a sandboxed Sage session per client.
-
Debug and explain LP/MILP models: why infeasible, what fixes it, what-if, sensitivity, scenario comparison. Needs pip install 'optlens[scip,mcp]'.
-
meok-dora-tlpt-planner-mcp io.github.CSOAI-ORG/meok-dora-tlpt-planner-mcp
meok-dora-tlpt-planner-mcp MCP server by MEOK AI Labs
-
toolroute io.github.grossiweb/toolroute
Route AI agent tasks to the best MCP server and LLM, scored on 132+ real benchmark executions.
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)
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Arquestra — Scientific Computing Orchestration
AI orchestration for computational chemistry and HPC workflows.
-
Strale agent skills with remote MCP connector for Strale platform integration.
-
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)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom…
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Publicado en 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…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
Publicado en 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…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Answer product and business questions with data
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
Publicado en Community GitHub marketplaces (5)
-
Stateful SageMath MCP server with 40 tools and a sandboxed Sage session per client.
-
Debug and explain LP/MILP models: why infeasible, what fixes it, what-if, sensitivity, scenario comparison. Needs pip install 'optlens[scip,mcp]'.
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
Build agents, MCP servers and tool-using workflows.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
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…
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
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.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Search company knowledge and draft verified answers.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Publicado en Docker MCP Catalog (5)
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Publicado en Official MCP Registry (5)
-
Debug and explain LP/MILP models: why infeasible, the smallest fix, what-if and sensitivity.
-
mcp com.crisphive/mcp
Field operations on a deterministic solver — run jobs, crews & fleet from Claude or ChatGPT.
-
Optimization middleware for AI agents: JSON problem in, verified and ranked solutions out.
-
Cost-optimized LLM model routing recommendations for autonomous AI agents
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
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.