io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
Servidor MCP · de STiFLeR7
Resumen
io.github.STiFLeR7/memex es un servidor MCP publicado por STiFLeR7. Marketplaces que leemos y que lo publican: 2 (Official MCP Registry, Claude Code: claude-plugins-community). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-12.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 2
- Ajustes: 4
Requiere: GEMINI_API_KEY (secreta), NEO4J_PASSWORD (secreta), NEO4J_URI, NEO4J_USER
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 npm
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" --env "NEO4J_PASSWORD=<YOUR_NEO4J_PASSWORD>" --env "NEO4J_URI=<YOUR_NEO4J_URI>" --env "NEO4J_USER=<YOUR_NEO4J_USER>" --transport stdio memex -- npx -y stifler-memex-mcp
[mcp_servers.memex]
command = "npx"
args = ["-y", "stifler-memex-mcp"]
[mcp_servers.memex.env]
GEMINI_API_KEY = "<YOUR_GEMINI_API_KEY>"
NEO4J_PASSWORD = "<YOUR_NEO4J_PASSWORD>"
NEO4J_URI = "<YOUR_NEO4J_URI>"
NEO4J_USER = "<YOUR_NEO4J_USER>"
{
"mcpServers": {
"memex": {
"command": "npx",
"args": [
"-y",
"stifler-memex-mcp"
],
"env": {
"GEMINI_API_KEY": "<YOUR_GEMINI_API_KEY>",
"NEO4J_PASSWORD": "<YOUR_NEO4J_PASSWORD>",
"NEO4J_URI": "<YOUR_NEO4J_URI>",
"NEO4J_USER": "<YOUR_NEO4J_USER>"
}
}
}
}
Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
No guardamos argumentos de arranque. Si el servidor necesita alguno, su propia documentación los indica.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 1.0.2 | Forks (GitHub): 0 Estrellas (GitHub): 12 |
Sin marca | |
| Claude Code: claude-plugins-community (Abrir el código en GitHub) | Publicado | 0.3.2 | 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 contiene el paquete
Tal como se publica en Claude Code: claude-plugins-community.
Servidores MCP: 1
memex
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.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-memory-mcp io.github.kira-autonoma/agent-memory-mcp
Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
-
memfleet com.memfleet/memfleet
Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
-
MCP server for Memanto - persistent semantic memory for any MCP-compatible agent
-
Local deterministic project memory for AI agents with context packs, gates and checkpoints.
-
solucortex-mcp io.github.soluai-spa/solucortex-mcp
Living technical memory for AI agents: recall approved project context, record what was learned.
-
a-mem-mcp io.github.DiaaAj/a-mem-mcp
Self-evolving memory system for AI agents
-
agent-memory io.github.MastadoonPrime/agent-memory
Persistent, agent-owned memory with encrypted storage and shared knowledge commons.
-
agentos io.github.OfficialTanishSharma/agentos
Local-first persistent memory MCP server for AI coding agents.
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
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)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
MCP server for agent social media platform - enables AI agents to interact in team-based discussions
Publicado en Claude Code: claude-plugins-official (5)
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
Detect an MCP server's language (Python, TypeScript or Go) and instrument it with the matching Pendo SDK so MCP tool calls flow into Pendo Agent Analytics.
-
Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and…
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…
-
MCP server for terminal commands, file operations, and process management
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
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…
-
Search companies and contacts, enrich leads, find lookalikes, and get AI-ranked contact recommendations. Pre-built skills chain multiple ZoomInfo tools into complete B2B sales…
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Comprehensive skill for the entire Temporal lifecycle — developing applications, using the Temporal CLI, running and managing Temporal Server, and working with Temporal Cloud.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Publicado en Community GitHub marketplaces (5)
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
touchdesigner-mcp-server io.github.8beeeaaat/touchdesigner-mcp-server
MCP server for TouchDesigner - Control and operate TouchDesigner projects through AI agents
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
agents-party io.github.1gr14/agents-party
One encrypted channel where Claude Code, Cursor, Codex and any other agent talk to each other.
-
inquisitor io.github.1111111111111111111114oLvT2/inquisitor
Hypothesis-driven problem solving for AI agents: probe, falsify, escalate.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
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…
-
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 Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Comprehensive resources for building Model Context Protocol servers using the official PHP SDK with attribute-based discovery, including best practices, project generation, and…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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.
-
power-automate
Build, edit, run, and debug Power Automate cloud flows via the FlowAgent MCP server — connection lifecycle, surgical edits, copy across environments, run management, and validated…
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Build apps, scripts, and automations with the TypeScript SDK.
Publicado en Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Dynatrace-mcp io.github.dynatrace-oss/Dynatrace-mcp
[DEPRECATED] Dynatrace MCP Server. Migrate to dynatrace-for-ai or Dynatrace Remote MCP Server.
-
unreal-engine-mcp io.github.ChiR24/unreal-engine-mcp
Automate the Unreal Editor (UE 5.0-5.8): levels, Blueprints, UI, materials, VFX and more.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
Remote MCP server for the Hackle Admin API: experiments, feature flags, remote config, messaging.
Publicado en Official MCP Registry (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-memory-mcp io.github.kira-autonoma/agent-memory-mcp
Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
-
memfleet com.memfleet/memfleet
Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
-
MCP server for Memanto - persistent semantic memory for any MCP-compatible agent
-
Local deterministic project memory for AI agents with context packs, gates and checkpoints.
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. Datos de Claude Code: claude-plugins-community. 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.