About test-server MCP server
test-server MCP server is a simple note-storage server with note resources, an add-note tool, and a prompt for summarizing stored notes. It is suited to MCP examples or workflows that collect and summarize notes.
Key features
- 01Store notes with add-note
- 02Access notes through note:// resources
- 03Generate summaries with summarize-notes
- 04Choose brief or detailed summary style
Use cases
- 01Save notes for later access
- 02Summarize collected notes in a chosen style
MCP support
Exposes an `add-note` tool, individual notes as `note://` resources, and a `summarize-notes` prompt that combines stored notes with an optional style.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEtest-server MCP server
A MCP server project
Components
Resources
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
``` "mcpServers": { "test-server": { "command": "uv", "args": [ "--directory", "/Users/jtorreggiani/organizer/work/open-source/create-python-server/test-server", "run", "test-server" ] } } ```Published Servers Configuration
``` "mcpServers": { "test-server": { "command": "uvx", "args": [ "test-server" ] } } ```Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /Users/jtorreggiani/organizer/work/open-source/create-python-server/test-server run test-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.