How do I install the openmembrain mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `OPENMEMBRANE_PROJECT_ID` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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OpenMemBrain MCP Server

OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it

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What is the OpenMemBrain MCP Server?

OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save.

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Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
remember	save structured memory directly. Provide content, type, and optional scope/tags. No API key needed. Supports single and batch mode.
propose_memory_from_session	submit a session transcript or summary for server-side LLM extraction. Requires a configured extractor. Useful for automation adapters.
get_project_rules	retrieve project rules and conventions for the current scope.
get_relevant_context	find memories relevant to a natural language query.
search_memory	search saved memories by query, scope, type, or tags.
list_memory_candidates	list pending memory candidates awaiting approval.
approve_memory_candidate	approve a pending candidate to save it as memory.
approve_all_candidates	approve all pending candidates at once.
reject_memory_candidate	reject a pending candidate with an optional reason.
reject_all_candidates	reject all pending candidates at once.
update_memory	update the content, type, scope, or tags of a saved memory.
supersede_memory	mark a memory as superseded, optionally linking a replacement.
review_stale_memories	list memories older than a threshold (default: 6 months).
export_static_memory_files	generate static instruction files (AGENTS.md, CLAUDE.md, etc.).
get_diagnostics	retrieve diagnostic events filtered by severity or code.
list_audit_log	retrieve recent audit events.

How to install the OpenMemBrain MCP Server

{
  "mcpServers": {
    "openmembrane": {
      "command": "npx",
      "args": [
        "openmembrane"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

“Use OpenMemBrain to remember.”
“Use OpenMemBrain to propose memory from session.”
“Use OpenMemBrain to get project rules.”

Frequently asked questions

OpenMemBrain is the intelligent membrane for AI coding memory. It autonomously reads and learns from your coding sessions — you never have to tell it what to save. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.