Remote MCP servers
43.104 servers, die du per URL über streamable HTTP verbindest. Nichts zu installieren oder auf deiner Maschine laufen zu lassen.
43.104 servers, die du per URL über streamable HTTP verbindest. Nichts zu installieren oder auf deiner Maschine laufen zu lassen.
Füge das GitHub Repo ein und wir listen ihn nach einem kurzen Review auf.
Server einreichenEin Remote MCP server läuft auf fremder Infrastruktur und dein Client verbindet sich per URL über streamable HTTP (ältere Server nutzen SSE). Die Anmeldung läuft meist über OAuth im Browser statt über einen API key in einer Config-Datei.
Lokale Server laufen als Prozess auf deiner Maschine und erreichen deine Dateien und dein privates Netzwerk. Remote-Server brauchen keine Runtime und aktualisieren sich selbst, aber deine Daten gehen zum Anbieter. Nimm remote für SaaS-Produkte, lokal für Dateien, Datenbanken in deinem Netzwerk und alles Offline.
Führe in Claude Code claude mcp add --transport http <name> <url> aus. In Cursor und Gemini CLI fügst du die URL unter mcpServers hinzu; in VS Code unter servers mit "type": "http". Jede Server-Seite enthält die exakte Config.
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-memLets an AI agent store, recall, and calibrate persistent memories, search indexed documents, and report outcomes.
$claude mcp add mcp -- npx -y memcellProvides persistent AI memory using hybrid search, temporal knowledge graphs, and automated entity extraction to enhance agent context.
$claude mcp add mnemo -- uvx n24q02m-mnemoLets AI agents log conversation exchanges and recall persistent memory context through MCP tools.
$claude mcp add --transport http synap https://synap-mcp.maximem.ai/mcpLets AI agents save, inspect, correct and forget memories across sessions, keeping a Source Receipt for each one.
$claude mcp add --transport http cairn-memory https://cairn.ink/api/mcpStores and retrieves long-term memories across AI clients, with feedback-driven re-ranking and shared rooms for multiple agents.
$claude mcp add mcp-memory-server -- npx -y @mnemoverse/mcp-memory-serverProvides long-term memory for AI agents using hybrid vector and full-text recall with support for rooms and time-travel.
$claude mcp add --transport http uteke https://uteke.app/mcpProvides persistent, governed long-term memory and session continuity for AI agents across different tools and sessions.
$claude mcp add memory-os-cli -- npx -y @xmemo/clientGives AI clients durable graph and vector memory so they can recall and store context across conversations.
$claude mcp add mcp-automem -- npx -y @verygoodplugins/mcp-automemProvides 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:1.5.3Gives 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-httpLets AI agents search your code, recall saved team decisions, and reuse project context across sessions and tools, with cited sources.
$claude mcp add --transport http mcp-server https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registryProvides long-term bitemporal memory for AI agents using a knowledge graph with provenance and cited answers.
$claude mcp add --transport http inite-brain-service https://brain.inite.ai/mcpLets AI agents search and remember your self-hosted documents, tickets and code with hybrid search and persistent memory.
$claude mcp add connapse -- docker run -i --rm ghcr.io/destrayon/connapse:v0.3.2Provides persistent memory and behavioral drift detection to help AI agents maintain identity and context across sessions.
$claude mcp add cathedral-mcp -- uvx cathedral-mcpProvides an agent-agnostic memory backend that preserves continuity between humans and AI using streamable HTTP transport.
$claude mcp add marsnme -- npx -y @marsnme/mcp-gatewayProvides AI agents with a persistent memory layer and virtual filesystem to read, search, and update project context.
$claude mcp add mcp-server -- npx -y @memofs/mcp-serverGives 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