Memory Bank MCP

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A production-ready Model Context Protocol (MCP) server that provides a powerful, vector-native memory bank for AI agents. Built with the Protocol-Lattice Go Agent Framework, this server offers persistent, searchable, and shareable memory with multiple database backends.

github ↗

Install

How to run this server

No install command recorded.

server path: memory-bank-mcp

Tools

What this server exposes

health.ping

Check if the server is running.

memory.embed

Get the vector embedding for a piece of text.

memory.add_short

Add a memory to a session's short-term buffer.

memory.flush

Persist a session's short-term buffer to the long-term vector store.

memory.store_long

Directly embed and store a memory in the long-term store.

memory.retrieve_context

Retrieve relevant memories for a query from a session.

spaces.upsert

Create or update a shared space with a TTL and ACL.

spaces.grant

Grant a role (reader, writer, admin) to a principal for a space.

spaces.revoke

Revoke a principal's access to a space.

spaces.list

List all spaces a principal has access to.

shared.join

Make a principal's session view include a specific space.

shared.leave

Remove a space from a principal's session view.

shared.add_short_to

Add a short-term memory directly to a shared space.

shared.retrieve

Retrieve memories from a principal's merged view (local + joined spaces).

engine.metrics

Get a snapshot of the memory engine's performance metrics.

Configuration

Environment & auth

authnone

envQDRANT_URL

envQDRANT_API_KEY

envGEMINI_API_KEY

envYOUR_GEMINI_API_KEY

Resources

githubhttps://github.com/Protocol-Lattice/memory-bank-mcp ↗