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Glama
adeeljames

Claude Memory MCP

by adeeljames

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_contextA

Load compressed memory. Returns summary + last 3 turns only. Call this at the START of every conversation.

save_turnA

Save one conversation turn to memory. Call this AFTER every response.

clear_memoryA

Wipe all stored memory and start fresh.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a distinct, non-overlapping purpose: clearing all memory, retrieving context, and saving a turn. No ambiguity.

Naming Consistency5/5

All tool names follow a clear verb_noun pattern with underscores: clear_memory, get_context, save_turn. Fully consistent.

Tool Count4/5

With 3 tools, the set is minimal but appropriate for a focused memory management server, covering essential operations. Slightly thin but not problematic.

Completeness3/5

Covers basic lifecycle: create (save_turn), read (get_context), delete all (clear_memory). Missing update or selective delete functionality, which may be needed for finer control.

Maintenance

ActivityInactive
ResponsivenessNo issues