quickmemo-mcp

quickmemo-mcp

A minimalist and elegant Model Context Protocol (MCP) server for fast context memo capture, keyword search, dynamic resource digests, and AI prompt workflows.

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README

QuickMemo MCP Server πŸ“βš‘

Python 3.10+ MCP License: MIT Smithery Ready Tests

QuickMemo MCP is a sleek, minimalistic, and unique Model Context Protocol (MCP) server that provides AI assistants with a fast, structured scratchpad and context memo engine.

Built cleanly using the official Python MCP SDK, QuickMemo showcases all three core MCP primitivesβ€”Tools, Resources, and Promptsβ€”in an elegant, zero-bloat codebase.


🌟 Key Highlights

  • ⚑ Minimalist & Zero-Bloat: Under 150 lines of clean, readable Python code.
  • 🎯 All 3 MCP Primitives:
    • Tools: Save, list, search, filter, retrieve, and delete context memos.
    • Resources: Real-time markdown digest (memo://all) and dynamic telemetry (memo://stats).
    • Prompts: Ready-to-use prompt templates for note reviews and daily standup generation.
  • πŸ”’ Zero Configuration Required: Uses local persistent JSON storage (~/.quickmemo/memos.json or custom path).
  • πŸš€ Marketplace & Registry Ready: Preconfigured with smithery.yaml and Dockerfile for one-click deployment to Smithery and Glama.

πŸ“ Project Structure

quickmemo-mcp/
β”œβ”€β”€ docs/                               # Learning documentation & reports
β”‚   β”œβ”€β”€ EXISTING_MCP_EXPERIENCE.md      # Hands-on write-up evaluating Context7 & Playwright
β”‚   └── MCP_FUNDAMENTALS.md             # Complete MCP protocol & architecture guide
β”œβ”€β”€ src/
β”‚   └── quickmemo/                      # MCP Server package (<150 LOC)
β”‚       β”œβ”€β”€ __init__.py                 # Package exports
β”‚       β”œβ”€β”€ __main__.py                 # Executable entrypoint
β”‚       └── server.py                   # Core server (Tools, Resources, Prompts)
β”œβ”€β”€ tests/
β”‚   β”œβ”€β”€ demo_client.py                  # Live interactive demonstration script
β”‚   └── test_server.py                  # Pytest unit & integration test suite
β”œβ”€β”€ Dockerfile                          # Containerized deployment manifest
β”œβ”€β”€ LICENSE                             # MIT License
β”œβ”€β”€ pyproject.toml                      # Package configuration & dependencies
β”œβ”€β”€ README.md                           # Quickstart & user documentation
└── smithery.yaml                       # Smithery registry manifest

πŸ“ Architecture Overview

+-------------------------------------------------------------------------------+
|                                  MCP CLIENT                                   |
|             (Claude Desktop / Cursor IDE / Antigravity / Custom AI)           |
+-------------------------------------------------------------------------------+
                                       β–²
                                       β”‚ JSON-RPC 2.0 (stdio)
                                       β–Ό
+-------------------------------------------------------------------------------+
|                             QUICKMEMO MCP SERVER                              |
|                                                                               |
|   [TOOLS]                     [RESOURCES]                 [PROMPTS]           |
|   β€’ add_memo                  β€’ memo://all (Digest)       β€’ review_notes      |
|   β€’ list_memos                β€’ memo://stats (JSON)       β€’ daily_standup     |
|   β€’ search_memos                                                              |
|   β€’ get_memo / delete_memo                                                    |
+-------------------------------------------------------------------------------+
                                       β”‚
                                       β–Ό
                         Local JSON Storage Engine
                         (~/.quickmemo/memos.json)

πŸ› οΈ MCP Primitives Catalog

1. Tools (Model-Controlled Functions)

Tool Name Parameters Description
add_memo title: str, content: str, category?: str, tags?: list[str] Saves a new memo or snippet with optional category and tags.
list_memos category?: str, tag?: str Lists saved memos with optional category and tag filtering.
get_memo memo_id: str Retrieves full content and metadata for a specific memo.
search_memos query: str Performs keyword search across title, content, tags, and category.
delete_memo memo_id: str Deletes a memo by ID.
clear_memos None Empties the memo store.

2. Resources (Dynamic Context Streams)

Resource URI MIME Type Description
memo://all text/markdown Formatted dynamic markdown digest of all stored memos.
memo://stats application/json Real-time statistics (total memos, categories breakdown, tag distribution).

3. Prompts (Pre-Engineered Workflow Templates)

Prompt Name Arguments Description
review_notes category?: str Synthesizes saved memos into key takeaways and an actionable checklist.
daily_standup None Converts recent memos into a standard 3-part daily standup report.

πŸš€ Quickstart & Installation

Option 1: Local Setup with uv (Recommended)

# Clone the repository
git clone https://github.com/your-username/quickmemo-mcp.git
cd quickmemo-mcp

# Install dependencies and package in editable mode
uv pip install -e .

# Run test suite
uv run pytest -v

# Run the interactive demo
uv run python tests/demo_client.py

Option 2: Running Directly via CLI

# Run server over stdio
quickmemo

πŸ”Œ Client Configuration

Claude Desktop

Add QuickMemo to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "quickmemo": {
      "command": "uvx",
      "args": ["--from", "quickmemo", "quickmemo"]
    }
  }
}

Cursor IDE

Add to .cursor/mcp.json in your workspace:

{
  "mcpServers": {
    "quickmemo": {
      "command": "quickmemo"
    }
  }
}

☁️ Deploying to Smithery / Glama

This repository is pre-configured for the Smithery registry with smithery.yaml and Dockerfile.

Install via Smithery CLI

npx -y @smithery/cli install quickmemo --client claude

Manual Registry Deployment

  1. Push your repository to GitHub.
  2. Visit Smithery.ai and sign in.
  3. Import your GitHub repository. Smithery automatically detects smithery.yaml and deploys your MCP server.

πŸ§ͺ Testing

Run the automated test suite:

uv run pytest -v

Output:

tests/test_server.py::TestMemoStore::test_add_and_get PASSED             [ 12%]
tests/test_server.py::TestMemoStore::test_list_and_filter PASSED         [ 25%]
tests/test_server.py::TestMemoStore::test_search PASSED                  [ 37%]
tests/test_server.py::TestMemoStore::test_delete_and_clear PASSED        [ 50%]
tests/test_server.py::TestServerTools::test_tool_workflow PASSED         [ 62%]
tests/test_server.py::TestServerTools::test_clear_memos_tool PASSED      [ 75%]
tests/test_server.py::TestServerResourcesAndPrompts::test_resources PASSED [ 87%]
tests/test_server.py::TestServerResourcesAndPrompts::test_prompts PASSED [100%]

============================== 8 passed in 1.10s ==============================

πŸ“š Deliverables & Learning Documentation


πŸ“„ License

MIT License Β© 2026 QuickMemo MCP Contributors.

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