KEPTA — the memory for AI systems
Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.
Servidor MCP · de DamianTodorovic
Resumen
KEPTA — the memory for AI systems es un servidor MCP publicado por DamianTodorovic. Marketplaces que leemos y que lo publican: 2 (Official MCP Registry, npm registry (MCP servers)). El último cambio que registramos fue el 2026-10-21. Según nuestra pasada por los marketplaces del 2026-10-21.
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
npm kepta-mcp (kepta-mcp en npm)
- Descargas de npm por semana: 210 (2026-10-21)
- Descargas de npm por mes: 5 290 (2026-10-21)
- Última versión en npm: 3.4.0, publicada el 2026-10-13
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 ti ni probamos plugins.
Como servidor MCP local: paquete npm
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio kepta -- npx -y kepta-mcp[mcp_servers.kepta]
command = "npx"
args = ["-y", "kepta-mcp"]{
"mcpServers": {
"kepta": {
"command": "npx",
"args": [
"-y",
"kepta-mcp"
]
}
}
}Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 3.4.0 | Descargas por mes (npm): 5 290 Descargas por semana (npm): 210 Forks (GitHub): 0 Estrellas (GitHub): 2 |
Sin marca | |
| npm registry (MCP servers) (Abrir en npm) | Publicado | 3.4.0 | Descargas por mes (npm): 5 290 Descargas por semana (npm): 210 Forks (GitHub): 0 Estrellas (GitHub): 2 |
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
- npm registry (MCP servers): publicó la versión 3.4.0 (antes 3.3.0)
- Official MCP Registry: publicó la versión 3.4.0 (antes 3.3.0)
- Official MCP Registry: publicó la versión 3.3.0 (antes 3.2.0)
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.
-
mcp net.modelbrain/mcp
Private memory layer for AI assistants. Local-first: remember, recall, forget, expand.
-
fimemory io.github.FutureAiIndustries/fimemory
Local-first shared memory for AI tools. Your files, encrypted at rest by default; budgeted reads.
-
mcp ai.zine/mcp
Your memory, everywhere AI goes. Build knowledge once, access it via MCP anywhere.
-
Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.
-
Token-saving persistent memory for AI agents: recall durable facts instead of re-reading files.
-
core io.github.omega-memory/core
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
-
memory com.humaux/memory
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
-
Portable AI memory shared across models and harnesses - plain markdown you own.
-
mnemo io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
-
memori-mcp io.github.MemoriLabs/memori-mcp
Memori MCP server — persistent AI memory with recall and augmentation tools
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
-
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…
-
Mac & Windows: let ChatGPT, Claude & Cursor use your email, calendar, iMessage, Teams, files.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
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…
Publicado en Claude Code: claude-plugins-official (5)
-
firebase-mcp io.github.firebase/firebase-mcp
Gives AI development tools Firebase-specific capabilities and expertise.
-
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
-
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.
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
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
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…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
Publicado en Community GitHub marketplaces (5)
-
memtomem io.github.memtomem/memtomem
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
-
Montycat MCP - Shared Memory for AI Agents
Shared, persistent memory for AI agents, with semantic recall and live updates.
-
Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.
-
Your AI memory as a local folder you own. Every app shares it; you see and can undo each change.
-
Persistent knowledge workspace for AI agents. Versioned files, search, and MCP tools.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
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…
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
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…
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Publicado en Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
Let Grok Bot reach MCP servers on your private Tailscale network. On your own tailnet it joins as one tag:grokbot device; on your team's company tailnet, turned on by a team…
-
Search company knowledge and draft verified answers.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
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 universal MCP (Model Context Protocol) server to integrate any API with Claude Desktop using only Docker configurations.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Give your AI agents trusted access to the full Postman platform.
Publicado en Official MCP Registry (5)
-
mcp net.modelbrain/mcp
Private memory layer for AI assistants. Local-first: remember, recall, forget, expand.
-
fimemory io.github.FutureAiIndustries/fimemory
Local-first shared memory for AI tools. Your files, encrypted at rest by default; budgeted reads.
-
mcp ai.zine/mcp
Your memory, everywhere AI goes. Build knowledge once, access it via MCP anywhere.
-
Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.
-
Token-saving persistent memory for AI agents: recall durable facts instead of re-reading files.
Publicado en npm registry (MCP servers) (5)
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
-
mcp com.dechonet/mcp
30 security tools for AI agents: phishing links, exposure maps, DNS, SSL, PQC, history, pivots.
-
keymem io.github.donggyun112/keymem
Associative key-graph memory for LLM agents — recall by association, not vector similarity.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
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. Datos de npm registry (MCP servers). 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.