Simple MCP server for note storage, summarization, and adding notes with customizable prompts and tools
Test Server, an MCP (Model Context Protocol) server project, offers developers a robust solution to integrate custom note storage functionalities with AI applications like Claude Desktop, Continue, Cursor, and more. This server introduces a note://
URI scheme specifically designed to enhance data management within structured environments. By providing a clear API for accessing individual notes through this unique identifier system, Test Server ensures seamless compatibility with various MCP clients and tools.
Test Server is built around several core features that make it a powerful tool for AI application integrations:
The server implements the note://
scheme, allowing users to access specific notes by their unique identifier. This functionality aligns with the broader goals of MCP, ensuring that data can be easily and securely accessed from any supported client or tool.
Each note resource within Test Server is meticulously defined, storing critical information such as a name, description, and text in the text/plain
mimetype format. These attributes ensure that each stored note remains comprehensible and versatile for various use cases, from quick summaries to detailed data analysis.
One of the standout features of this MCP server is its ability to generate comprehensive summaries of all currently stored notes. This summary creation supports configurable 'styles'—brief or detailed—to cater to different user requirements and application workflows.
Under the hood, Test Server adheres strictly to the MCP architectural principles, ensuring compatibility with a wide range of clients like Claude Desktop, Continue, Cursor, and others. Key aspects of this implementation include:
The server is designed using command-like execution methods (uv
in development mode and uvx
for published servers), which enables efficient and seamless interaction between the server and various MCP clients through standardized protocols.
For developers looking to diagnose issues, Test Server supports the MCP Inspector—a powerful tool for real-time monitoring and debugging. This ensures that any problems can be readily identified and resolved without extensive downtime or manual intervention.
Setting up Test Server is straightforward and involves several key steps:
For MacOS users, Test Server can be configured in the claude_desktop_config.json
located at ~/Library/Application Support/Claude/
. On Windows, it uses %APPDATA%/Claude/cclaude_desktop_config.json
.
{
"mcpServers": {
"test-server": {
"command": "uv",
"args": [
"--directory",
"/Users/jtorreggiani/organizer/work/open-source/create-python-server/test-server",
"run",
"test-server"
]
}
}
}
{
"mcpServers": {
"test-server": {
"command": "uvx",
"args": [
"test-server"
]
}
}
}
Imagine an AI researcher working on a large-scale project where detailed summaries of documents are essential. By integrating Test Server, the researcher can quickly generate overviews of all relevant data points using built-in prompts, thereby streamlining their workflow and reducing manual effort.
Consider a scenario where multiple team members collaborate on various projects, sharing notes through the note://
URI scheme. The server ensures real-time updates to stored notes, enhancing communication and ensuring that everyone is working with the latest information, thus improving overall project efficiency.
Test Server seamlessly integrates with prominent AI clients like:
By supporting these key clients, Test Server ensures broad applicability across different AI application landscapes.
The following table summarizes the compatibility of various MCP clients with Test Server:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
The server is designed to handle a moderate number of notes efficiently, ensuring low latency in data retrieval and storage operations. For larger datasets or higher throughput requirements, future optimizations can be implemented.
Below is an example configuration snippet demonstrating how to set up Test Server with environment variables:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Test Server emphasizes security through measures such as input validation and secure API keys, ensuring that data is handled responsibly. Further security enhancements can be made depending on specific project requirements.
Does Test Server support real-time updates for notes?
Is there a way to change the style of note summaries generated by the server?
summarize-notes
prompt allows you to specify whether the summary should be "brief" or "detailed," catering to different user needs.Can Test Server work with other MCP clients besides those listed?
How can I debug issues when using this server?
What dependencies are required for running Test Server?
uv
(a package manager) and specific tools like npx
. Ensure these prerequisites are installed before deployment.Contributions to Test Server are highly valued. If you're interested in contributing, please review the existing codebase and submit a pull request following our contribution guidelines. Open issues and discuss future improvements on the project's GitHub repository.
For more information on the broader MCP ecosystem and related resources, visit:
Engaging with this community can provide valuable insights and support as you integrate Test Server into your projects.
By following these guidelines, developers can effectively leverage Test Server to enhance their AI workflows through seamless integration with various MCP clients while ensuring robust data management and processing.
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