Remote MCP servers
43,000 servers you connect by URL over streamable HTTP. Nothing to install or keep running on your machine.
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43,000 servers you connect by URL over streamable HTTP. Nothing to install or keep running on your machine.
A remote MCP server runs on someone else's infrastructure and your client connects to it by URL over streamable HTTP (older servers use SSE). Sign-in usually happens through OAuth in the browser instead of an API key in a config file.
Local servers run as a process on your machine and can reach your files and private network. Remote servers need no runtime and update themselves, but your data goes to the provider. Pick remote for SaaS products, local for files, databases on your network and anything offline.
In Claude Code run claude mcp add --transport http <name> <url>. In Cursor and Gemini CLI add the URL under mcpServers; in VS Code add it under servers with "type": "http". Each server page has the exact 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-mem
Lets an AI agent store, recall, and calibrate persistent memories, search indexed documents, and report outcomes.
$claude mcp add mcp -- npx -y memcell
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
Lets 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/mcp
Stores 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-server
Provides 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/mcp
Provides 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/client
Gives 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-automem
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
Lets 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=registry
Provides 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/mcp
Lets 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:v0.3.2
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
Provides 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-server
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