Memra MCP server — persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall with no LLM in the hot path.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add mcp -- python -m memra-local{
"mcpServers": {
"mcp": {
"command": "python",
"args": ["-m", "memra-local"]
}
}
}Resumen de MCP Servers
# Memra MCP Server
Persistent memory for AI agents — remote [MCP](https://modelcontextprotocol.io) server. EU-hosted (Helsinki), privacy-first, deterministic recall with no LLM in the hot path.
**Endpoint:** `https://usememra.com/mcp` (Streamable HTTP) · **Registry:** `com.usememra/memra` · **Free tier, no credit card.**
## What it gives your agent
- **memra_remember / memra_recall** — store facts, decisions, patterns; hybrid semantic + lexical (BM25) search that also matches exact identifiers and error codes
- **Write-time contradiction detection** — storing a fact that clashes with existing knowledge returns `conflicts[]` so the agent can supersede the outdated one
- **Read-your-writes** — every write returns a `revision` token; recall with `wait_for_revision` is deterministic
- **memra_supersede + memra_history** — memories retire with full audit chains instead of going stale
- **Staleness signals** — every result carries `staleness_score` / `last_confirmed`; the agent decides what to trust
- **Token-budget recall** — `max_tokens: 2000` returns the best memories that fit your context window
- **memra_bootstrap** — priority context at session start
- Multi-tenant namespaces, PII masking (7 EU language models), read-only scoped keys for subagents
## Setup
Get an API key at [usememra.com](https://usememra.com) (free tier), then:
**Claude Code**
```bash
claude mcp add --transport http memra https://usememra.com/mcp --header "Authorization: Bearer memra_live_YOUR_KEY"
```
**Cursor / Cline / any MCP client** (`mcp.json`)
```json
{
"mcpServers": {
"memra": {
"url": "https://usememra.com/mcp",
"headers": { "Authorization": "Bearer memra_live_YOUR_KEY" }
}
}
}
```
**Fully offline alternative:** [`pip install memra-local`](https://github.com/usememra/memra-local) — same tools, SQLite + ONNX embeddings, zero cloud calls.
## Docs
- [llms-full.txt](https://usememra.com/llms-full.txt) — complete machine-readable API reference
- [OpenAPI](https://usememra.com/docs/openapi.json) · [Changelog](https://usememra.com/changelog) · [Security](https://usememra.com/security) · [Data & privacy](https://usememra.com/data-privacy)
SDKs: [`pip install memra-sdk`](https://github.com/usememra/memra-python) · [`npm install @usememra/sdk`](https://github.com/usememra/sdk-typescript) · [`composer require memra/sdk`](https://github.com/usememra/sdk-php)
Lo que la gente pregunta sobre mcp
¿Qué es usememra/mcp?
+
usememra/mcp es mcp servers para el ecosistema de Claude AI. Memra MCP server — persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall with no LLM in the hot path. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-09-07.
¿Cómo se instala mcp?
+
Puedes instalar mcp clonando el repositorio (https://github.com/usememra/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar usememra/mcp?
+
Nuestro agente de seguridad ha analizado usememra/mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene usememra/mcp?
+
usememra/mcp es mantenido por usememra. La última actividad registrada en GitHub es del 2026-09-07, con 0 issues abiertos.
¿Hay alternativas a mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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