VectorCache Semantic Vector Cache
x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
Servidor MCP · de pgalyen1987
Resumen
VectorCache Semantic Vector Cache es un servidor MCP publicado por pgalyen1987. 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
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
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.
Paquete
npm @nodeproxy/vectorcache (@nodeproxy/vectorcache en npm)
- Descargas de npm por semana: 19 (2026-10-12)
- Descargas de npm por mes: 111 (2026-10-12)
- Última versión en npm: 0.1.1, publicada el 2026-06-28
- La versión declarada 0.1.1 no figura en npm
Los datos de npm proceden del registro público de npm (registry.npmjs.org, api.npmjs.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.
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 usted ni probamos plugins.
Como servidor MCP local: paquete npm
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio vectorcache -- npx -y @nodeproxy/vectorcache[mcp_servers.vectorcache]
command = "npx"
args = ["-y", "@nodeproxy/vectorcache"]{
"mcpServers": {
"vectorcache": {
"command": "npx",
"args": [
"-y",
"@nodeproxy/vectorcache"
]
}
}
}Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.0.2 | Descargas por mes (npm): 111 Descargas por semana (npm): 19 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.
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.
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
mcp-qdrant io.github.infoinlet-marketplace/mcp-qdrant
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
-
Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.
-
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
ls-search io.github.CalBearKen/ls-search
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
-
N3MemoryCore Lite (Working Memory)
Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.
-
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
memforge-memory io.github.volsier/memforge-memory
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
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 skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
Publicado en Claude Code: claude-plugins-official (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
Redis development best practices — data structures, query engine, vector search, caching, and performance optimization
-
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 Claude: knowledge-work-plugins (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
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.
-
Connect Claude to your ClickHouse Cloud databases. Browse organizations, services, databases, and table schemas. Run read-only SQL queries against your data and get instant…
-
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…
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.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
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)
-
Self-hosted memory layer for Claude Code with hard per-project isolation (Postgres RLS + Pinecone + Neo4j).
-
Durable, local-first agent memory with cited recall, provenance, and a consent-aware CLI-first Cursor workflow.
-
Persistent AI project memory — restore session context, recall & save knowledge, setup, and an MCP smoke test
-
Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.
-
The bridge between Claude's working memory and Basic Memory's durable knowledge graph — session briefings, pre-compaction checkpoints, and capture reflexes
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
-
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.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
Publicado en Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Search company knowledge and draft verified answers.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Explore datasets and tables and run SQL queries.
-
Capture, search, and organize notes and collections.
Publicado en Docker MCP Catalog (5)
-
Production-ready RAG service to search and retrieve data from your documents.
-
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma.
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Knowledge graph-based persistent memory system.
Publicado en Official MCP Registry (5)
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
mcp-qdrant io.github.infoinlet-marketplace/mcp-qdrant
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
-
Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.
-
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
-
ls-search io.github.CalBearKen/ls-search
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
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.