MCP servers remotos
43.000 servidores que conectas por URL mediante streamable HTTP. Nada que instalar ni mantener en ejecución en tu máquina.
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ServidorCapacidadesEstrellas · 30d
43.000 servidores que conectas por URL mediante streamable HTTP. Nada que instalar ni mantener en ejecución en tu máquina.
Pega su repositorio de GitHub y lo listaremos tras una revisión rápida.
Enviar servidorUn MCP server remoto se ejecuta en la infraestructura de otra persona y tu cliente se conecta a él por URL mediante streamable HTTP (los servidores más antiguos usan SSE). El inicio de sesión suele hacerse con OAuth en el navegador en lugar de una clave API en un archivo de configuración.
Los servidores locales se ejecutan como un proceso en tu máquina y pueden acceder a tus archivos y red privada. Los servidores remotos no necesitan un runtime y se actualizan solos, pero tus datos van al proveedor. Elige remoto para productos SaaS y local para archivos, bases de datos en tu red y todo lo que funcione sin conexión.
En Claude Code ejecuta claude mcp add --transport http <name> <url>. En Cursor y Gemini CLI agrega la URL en mcpServers; en VS Code agrégala en servers con "type": "http". Cada página de servidor tiene la configuración exacta.
Provides memory infrastructure for stateful agents to store, reason over, and query conversations, events, and peer representations.
$claude mcp add --transport http honcho https://mcp.honcho.dev/
Provides shared graph-based memory for AI agents using a local Postgres database to store and recall facts without calling an LLM for writes.
$claude mcp add echo-mem -- uvx echo-mem
Provides persistent AI memory using hybrid search, temporal knowledge graphs, and automated entity extraction to enhance agent context.
$claude mcp add mnemo -- uvx n24q02m-mnemo
Lets AI agents log conversation exchanges and recall persistent memory context through MCP tools.
$claude mcp add --transport http synap https://synap-mcp.maximem.ai/mcp
Provides AI assistants with local-first graph memory using SQLite and semantic search to recall, connect, and learn from long-term context.
$claude mcp add memory-engine-mcp -- docker run -i --rm ghcr.io/simoneb79/memory-engine-mcp:1.5.3
Gives AI clients one shared long-term memory to search, read the user profile, and add facts and documents.
$claude mcp add --transport http membase-3f9d69 https://api.app.membase.com/mcp-httpGives AI clients one shared long-term memory to add facts and documents, search past context, read the user profile, and ask questions.
$claude mcp add --transport http membase https://api.app.membase.com/mcp-http
Provides persistent memory and behavioral drift detection to help AI agents maintain identity and context across sessions.
$claude mcp add cathedral-mcp -- uvx cathedral-mcp
Gives AI agents semantic, episodic, and procedural memory that persists across sessions and learns from failed workflows.
$claude mcp add --transport http mengram https://mengram.io/mcp
Provides hosted memory for AI agents with provenance, contradiction surfacing, and snapshot rollback capabilities.
$claude mcp add bilinc -- uvx bilinc
Provides persistent, AES-256-GCM encrypted memory infrastructure for AI agents to enable cross-session and cross-agent context recall.
$claude mcp add --transport http synapse-layer https://forge.synapselayer.org/api/mcpProvides persistent multimodal context storage for LLM agents with support for text, images, semantic search, and thread-based scoping.
$claude mcp add mcp-context-server -- uvx mcp-context-server
Provides a persistent, Mem0-compatible memory layer for AI agents using hybrid retrieval and LLM fact extraction.
$claude mcp add --transport http deepmem https://deepmem.dev/mcp
Provides AI clients with a persistent, shared memory engine using a knowledge graph to recall facts and preferences across different sessions.
$claude mcp add spomory -- uvx spomory
Provides self-hosted persistent memory for AI agents using a knowledge graph and hybrid semantic search to maintain project context across sessions.
$claude mcp add maxgraph -- docker run -i --rm ghcr.io/rumemory/maxgraph:1.9.5
Provides durable AI memory that persists distilled facts across different sessions and subagents.
$claude mcp add khwan-mcp -- uvx khwan-mcp
Provides shared long-term memory for AI agent fleets, allowing agents to record and retrieve insights across an organization.
$claude mcp add hivemind -- docker run -i --rm ghcr.io/monochrome-muncher/hivemind:v2.26.0
Provides persistent, adaptive memory for AI agents using hybrid search and a neural memory graph to connect knowledge across conversations.
$claude mcp add --transport http memory-cloud https://memory.kagura-ai.com/mcpProvides AI agents with associative memory using a typed knowledge graph stored on Postgres and pgvector.
$claude mcp add engraphy -- docker run -i --rm ghcr.io/devon-clarkk/engraphy:0.3.0
Provides persistent, cross-platform memory for AI agents to recall past discussions, save decisions, and export data as Markdown.
$claude mcp add --transport http aifa-memory-mcp https://aifa.works/api/mcp