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 primitives—Tools, Resources, and Prompts—in an elegant, zero-bloat codebase.
⚡ 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.
🔒 Zero Configuration Required: Uses local persistent JSON storage (~/.quickmemo/memos.json or custom path).
🚀 Marketplace & Registry Ready: Preconfigured with smithery.yaml and Dockerfile for one-click deployment to Smithery and Glama.
Related MCP server: mindmap-mcp-server
quickmemo-mcp/
├── docs/ # Learning documentation & reports
│ ├── EXISTING_MCP_EXPERIENCE.md # Hands-on write-up evaluating Context7 & Playwright
│ └── MCP_FUNDAMENTALS.md # Complete MCP protocol & architecture guide
├── src/
│ └── quickmemo/ # MCP Server package (<150 LOC)
│ ├── __init__.py # Package exports
│ ├── __main__.py # Executable entrypoint
│ └── server.py # Core server (Tools, Resources, Prompts)
├── tests/
│ ├── demo_client.py # Live interactive demonstration script
│ └── test_server.py # Pytest unit & integration test suite
├── Dockerfile # Containerized deployment manifest
├── LICENSE # MIT License
├── pyproject.toml # Package configuration & dependencies
├── README.md # Quickstart & user documentation
└── smithery.yaml # Smithery registry manifest+-------------------------------------------------------------------------------+
| MCP CLIENT |
| (Claude Desktop / Cursor IDE / Antigravity / Custom AI) |
+-------------------------------------------------------------------------------+
▲
│ JSON-RPC 2.0 (stdio)
▼
+-------------------------------------------------------------------------------+
| QUICKMEMO MCP SERVER |
| |
| [TOOLS] [RESOURCES] [PROMPTS] |
| • add_memo • memo://all (Digest) • review_notes |
| • list_memos • memo://stats (JSON) • daily_standup |
| • search_memos |
| • get_memo / delete_memo |
+-------------------------------------------------------------------------------+
│
▼
Local JSON Storage Engine
(~/.quickmemo/memos.json)Tool Name | Parameters | Description |
|
| Saves a new memo or snippet with optional category and tags. |
|
| Lists saved memos with optional category and tag filtering. |
|
| Retrieves full content and metadata for a specific memo. |
|
| Performs keyword search across title, content, tags, and category. |
|
| Deletes a memo by ID. |
| None | Empties the memo store. |
Resource URI | MIME Type | Description |
|
| Formatted dynamic markdown digest of all stored memos. |
|
| Real-time statistics (total memos, categories breakdown, tag distribution). |
Prompt Name | Arguments | Description |
|
| Synthesizes saved memos into key takeaways and an actionable checklist. |
| None | Converts recent memos into a standard 3-part daily standup report. |
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# Run server over stdio
quickmemoAdd 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"]
}
}
}Add to .cursor/mcp.json in your workspace:
{
"mcpServers": {
"quickmemo": {
"command": "quickmemo"
}
}
}This repository is pre-configured for the Smithery registry with smithery.yaml and Dockerfile.
npx -y @smithery/cli install quickmemo --client claudePush your repository to GitHub.
Visit Smithery.ai and sign in.
Import your GitHub repository. Smithery automatically detects smithery.yaml and deploys your MCP server.
Run the automated test suite:
uv run pytest -vOutput:
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 ==============================📖 Existing MCP Hands-On Evaluation: docs/EXISTING_MCP_EXPERIENCE.md
📘 MCP Architecture & Fundamentals Guide: docs/MCP_FUNDAMENTALS.md
💻 Interactive Live Demo Script: tests/demo_client.py
⚙️ Smithery Configuration: smithery.yaml
MIT License © 2026 QuickMemo MCP Contributors.
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