io.github.Yarmoluk/ckg-nemotron-perplexity
NVIDIA Nemotron + Perplexity Sonar as knowledge graphs — 2 domains, 83 nodes. MCP-native.
Servidor MCP · de Yarmoluk
Resumen
io.github.Yarmoluk/ckg-nemotron-perplexity es un servidor MCP publicado por Yarmoluk. 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 2026-10-16.
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 ckg-nemotron-perplexity (ckg-nemotron-perplexity en PyPI)
- Descargas de PyPI por semana: 30 (2026-10-13)
- Descargas de PyPI por mes: 81 (2026-10-13)
- Última versión en PyPI: 0.2.1, publicada el 2026-07-22
Sin vulnerabilidades conocidas en OSV para 0.2.1 (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 ckg-nemotron-perplexity -- uvx ckg-nemotron-perplexity
[mcp_servers.ckg-nemotron-perplexity]
command = "uvx"
args = ["ckg-nemotron-perplexity"]
{
"mcpServers": {
"ckg-nemotron-perplexity": {
"command": "uvx",
"args": [
"ckg-nemotron-perplexity"
]
}
}
}
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.2.1 | Descargas por mes (PyPI): 81 Descargas por semana (PyPI): 30 |
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.
-
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
-
plexus io.github.pcas-io/plexus
Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
-
Local knowledge graph memory MCP server for AI assistants.
-
NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.
-
ckg-mcp io.github.Yarmoluk/ckg-mcp
97-domain knowledge graphs for AI agents — 4× F1 of RAG, 11× fewer tokens. MCP-native.
-
Self-hosted persistent memory for AI agents: knowledge graph and hybrid search.
-
Shared, serverless, conflict-free knowledge-graph memory for AI agents
-
rag-knowledge-graph-mcp io.github.CSOAI-ORG/rag-knowledge-graph-mcp
Rag Knowledge Graph MCP Server by MEOK AI Labs
-
mnemograph io.github.tm42/mnemograph
Event-sourced knowledge graph memory for AI coding agents with semantic search
-
neuromcp io.github.AdelElo13/neuromcp
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
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)
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Build and query Compact Knowledge Graphs directly in Claude Code. Includes a skill to convert any CSV into a CKG and an MCP server with 8 pre-built domains. 42x more efficient…
-
AI Cowork metabrain with Knowledge Graph, Thought Stack, Fuel Intelligence, and local AI Overseer. 20 native MCP tools for persistent session memory across Claude instances.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
FastMCP server for surgical queries against a vault knowledge graph (NetworkX no
FastMCP server for surgical queries against a vault knowledge graph (NetworkX node-link JSON).…
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…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
Publicado en 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…
-
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.
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
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…
-
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.
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Answer product and business questions with data
Publicado en Community GitHub marketplaces (5)
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
-
Persistent knowledge graph and MCP server for AI workflows with git-tracked project context.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
memory-lean io.github.zamansheikh/memory-lean
Token-lean memory for AI agents: a knowledge graph searched cheaply. Drop-in for server-memory.
-
Fused graph of your codebase — static code + runtime OTel — for AI agents, over MCP.
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.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
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.
-
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…
Publicado en Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Search company knowledge and draft verified answers.
-
Track AI visibility, sentiment, and citations.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Publicado en Docker MCP Catalog (5)
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
Graph database queries with Cypher and Gremlin.
-
Production-ready RAG service to search and retrieve data from your documents.
Publicado en Official MCP Registry (5)
-
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
-
plexus io.github.pcas-io/plexus
Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
-
Local knowledge graph memory MCP server for AI assistants.
-
NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.
-
ckg-mcp io.github.Yarmoluk/ckg-mcp
97-domain knowledge graphs for AI agents — 4× F1 of RAG, 11× fewer tokens. MCP-native.
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.