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mcp-memoria

by rhpino
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mcp-memoria

Memoria de proyectos compartida. MCP server gemelo de mop-mcp pero para conocimiento: decisiones, lecciones, ADRs, links entre proyectos/ideas.

Quick reference

  • Endpoint target: http://secops:9092/mcp (HTTP, JSON-RPC sobre Streamable HTTP)

  • Stack: Python 3.12 + FastAPI + uvicorn (replica mop-mcp v3.4.2)

  • Privacidad: allowlist de paths (NO MEMORY/USER/SOUL/IDENTITY/AGENTS/briefing)

  • HA: backup diario a geo + tars vps (2 destinos, sin OCI por ahora)

  • Embeddings + vector store (decisión 2026-07-01 corregida: sistema de memoria de la organización, requiere calidad)

  • Lifecycle: 1 año (compromiso de Rodrigo)

  • Status: PLAN — discovery completo, listo para implementación

Related MCP server: Crosmos MCP Server

Docs en este directorio

  • PLAN.md — plan completo: decisiones, stack, arquitectura, tools, tasks, riesgos, criterios de éxito

  • SECURITY.md — privacy boundaries (qué lee y qué NO lee, test de no-leak)

  • OPEN_QUESTIONS.md — 4 puntos pendientes antes de implementar

Tools que va a exponer (9)

  • decision_list / decision_get — decisiones técnicas

  • lesson_list / lesson_get — lecciones aprendidas

  • adr_get — ADRs (Architecture Decision Records)

  • project_brief — resumen por proyecto

  • cross_links — entidades que mencionan un topic

  • link_add / link_list — vincular entidades (append-only log)

Sources permitidos

  • ~/.openclaw/workspace/kb/{decisions,lessons,jobs,concepts,wiki}/

  • ~/.openclaw/workspace/04-decisions/

  • ~/.openclaw/workspace/clientes/*/decisions.md

NO lee (denylist explícito): MEMORY.md, USER.md, SOUL.md, IDENTITY.md, AGENTS.md, briefing/, memory/sessions/, clientes//contactos

Cómo deployar (cuando se implemente)

cd /opt/mcps/memoria
python3.12 -m venv .venv
source .venv/bin/activate
pip install -e .
sudo systemctl mcp-memoria
curl http://secops:9092/health

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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Resources

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