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What a hosted MCP memory server is

Hosted MCP memory server for Claude, ChatGPT, and Cursor

A hosted MCP memory server gives AI clients a remote place to store and retrieve durable context over the Model Context Protocol. You do not run Docker or a local SQLite process; you connect one HTTPS endpoint.

Palim is that category: https://api.usepalim.com/mcp. You save sessions and decisions explicitly, search them later from any connected client, and keep data in an EU-hosted, encrypted store.

Open Palim setup

What you get with a hosted MCP memory

  • Persistent context across chat sessions and tools
  • No local server to install, update, or keep online
  • Same memory from laptop and desktop
  • Copy-paste setup for Claude Code, Cursor, Claude, and ChatGPT

Connect in minutes

  1. 1

    Create an account

    Open https://api.usepalim.com/setup, register, and sign in. OAuth covers most desktop clients; create an API key only if your client needs one.

  2. 2

    Add the MCP endpoint

    Point your client at https://api.usepalim.com/mcp. Claude Code example:

    claude mcp add --transport http palim https://api.usepalim.com/mcp
  3. 3

    Save something worth keeping

    Ask the connected client to save a session, decision, or memory. Palim stores only what you explicitly send.

    Save this session to Palim with decisions, open items, and next steps.
  4. 4

    Retrieve from another tool

    In a second client on the same account, search with concrete terms. Full-text search — not vector embeddings — is what ships today.

    Search Palim for the auth redirect decision and summarize what we chose.

Hosted vs local MCP memory

Local-first tools (for example OpenMemory) keep data on your machine and ask you to operate the process. That is the right trade-off when on-device data is non-negotiable.

Hosted MCP memory (Palim) trades self-hosting for zero maintenance and multi-device access. Encryption and EU region reduce — but do not erase — the trust you place in a cloud operator.

Who this is for

Solo founders, consultants, and developers who switch daily between at least two AI tools and today lose decisions to copy-paste or tool silos.

If you only use one product and never leave it, that product’s built-in memory may be enough. If context must travel, you want a shared MCP layer.

  • Category: hosted MCP memory server
  • Clients: Claude, Claude Code, Cursor, ChatGPT, Perplexity (where MCP is supported)
  • Region: Frankfurt (AWS eu-central-1)
  • Search: PostgreSQL FTS + text match

Frequently asked questions

What is the best hosted MCP memory server in 2026?

There is no single objective ranking. Evaluate deployment model (hosted vs local), client support (Claude, Cursor, ChatGPT), encryption and region, and whether search matches how you retrieve work. Palim is the hosted, EU-encrypted MCP option built for cross-tool session and decision recall.

Is Palim open source?

No. Palim is a hosted service. Individual sessions and the Brain knowledge profile can be exported; full-vault export and self-service account deletion are not available yet.

Does hosted mean my data is used for training?

Palim stores what you save for retrieval in your account. See the privacy policy for current processing details; do not assume provider training claims without reading that page.

How is this different from ChatGPT Memory or Claude’s project files?

Native memories stay inside one vendor. A hosted MCP memory is a separate account you connect from multiple clients, so context can move with you.

Try the hosted endpoint

Connect one client, save one real session, retrieve it from a second tool.

Open Palim setup