Skip to main content
Glama

Simple Memory Extension MCP Server

by gmacev

Simple Memory Extension MCP Server

An MCP server to extend the context window / memory of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or anything worth remembering. Simply ask the agent to store memories and recall whenever you need or ask the agent to fully manage its memory (through cursor rules for example) however it sees fit.

Usage

Starting the Server

npm install npm start

Available Tools

Context Item Management
  • store_context_item - Store a value with key in namespace
  • retrieve_context_item_by_key - Get value by key
  • delete_context_item - Delete key-value pair
Namespace Management
  • create_namespace - Create new namespace
  • delete_namespace - Delete namespace and all contents
  • list_namespaces - List all namespaces
  • list_context_item_keys - List keys in a namespace
  • retrieve_context_items_by_semantic_search - Find items by meaning

Semantic Search Implementation

  1. Query converted to vector using E5 model
  2. Text automatically split into chunks for better matching
  3. Cosine similarity calculated between query and stored chunks
  4. Results filtered by threshold and sorted by similarity
  5. Top matches returned with full item values

Development

# Dev server npm run dev # Format code npm run format

.env

# Path to SQLite database file DB_PATH=./data/context.db PORT=3000 # Use HTTP SSE or Stdio USE_HTTP_SSE=true # Logging Configuration: debug, info, warn, error LOG_LEVEL=info

This project includes semantic search capabilities using the E5 embedding model from Hugging Face. This allows you to find context items based on their meaning rather than just exact key matches.

Setup

The semantic search feature requires Python dependencies, but these should be automatically installed when you run: npm run start

Embedding Model

We use the intfloat/multilingual-e5-large-instruct

Notes

Developed mostly while vibe coding, so don't expect much . But it works, and I found it helpful so w/e. Feel free to contribute or suggest improvements.

-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.

  1. Usage
    1. Starting the Server
    2. Available Tools
    3. Semantic Search Implementation
  2. Development
    1. .env
      1. Semantic Search
        1. Setup
        2. Embedding Model
        3. Notes

      Related MCP Servers

      • -
        security
        A
        license
        -
        quality
        An MCP server implementation that standardizes how AI applications access tools and context, providing a central hub that manages tool discovery, execution, and context management with a simplified configuration system.
        Last updated -
        12
        Python
        MIT License
      • -
        security
        A
        license
        -
        quality
        A Model Context Protocol (MCP) server that provides persistent memory and context management for AI systems through a structured 5-phase optimization workflow.
        Last updated -
        TypeScript
        MIT License
      • A
        security
        F
        license
        A
        quality
        An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.
        Last updated -
        7
        5
        TypeScript
        • Apple
      • -
        security
        F
        license
        -
        quality
        A MCP Server that gives AI assistants the ability to remember information about users across conversations using vector search technology.
        Last updated -

      View all related MCP servers

      MCP directory API

      We provide all the information about MCP servers via our MCP API.

      curl -X GET 'https://glama.ai/api/mcp/v1/servers/gmacev/Simple-Memory-Extension-MCP-Server'

      If you have feedback or need assistance with the MCP directory API, please join our Discord server