Notes MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Notes MCP Servercreate a note titled 'Meeting Notes' with the content 'Discuss project timeline and assign tasks'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
my-server MCP Server
A Model Context Protocol server
This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:
Resources representing text notes with URIs and metadata
Tools for creating new notes
Prompts for generating summaries of notes
Features
Resources
List and access notes via
note://URIsEach note has a title, content and metadata
Plain text mime type for simple content access
Tools
create_note- Create new text notesTakes title and content as required parameters
Stores note in server state
Prompts
summarize_notes- Generate a summary of all stored notesIncludes all note contents as embedded resources
Returns structured prompt for LLM summarization
Related MCP server: MCP Notes Server
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"my-server": {
"command": "/path/to/my-server/build/index.js"
}
}
}Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Available Tools
1 tooladdC
Add two numbers
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. 'Add two numbers' reveals nothing about error handling, rate limits, authentication requirements, or what happens when invalid inputs are provided. It doesn't even specify if this is a read-only or mutation operation. The description provides minimal behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is maximally concise at just three words. It's front-loaded with the core functionality and contains zero wasted words. For such a simple tool, this brevity is appropriate and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a simple mathematical operation with no annotations, no output schema, and 0% schema coverage, the description is inadequate. While the tool's basic purpose is clear, there's no information about return values, error conditions, or operational constraints. The description doesn't provide enough context for reliable tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage and two required parameters, the description 'Add two numbers' provides no information about what parameters 'a' and 'b' represent, their data types, constraints, or examples. The description doesn't compensate for the complete lack of schema documentation, leaving parameters semantically undefined.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Add two numbers' clearly states the verb ('Add') and resource ('two numbers'), making the purpose immediately understandable. It's specific about what mathematical operation is performed. However, with no sibling tools to differentiate from, it cannot achieve a perfect score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what the tool does without any usage instructions or limitations. This is a basic description that lacks operational guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
add
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'add' has a clear and distinct purpose of adding two numbers, leaving no room for confusion or misselection by an agent.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'add' follows a simple verb pattern, and with no other tools to compare against, there are no deviations or inconsistencies in naming conventions.
A single tool is too few for a server named 'Notes MCP Server', which implies functionality related to managing notes. The tool 'add' for adding numbers does not align with the expected scope, resulting in a significant mismatch between the server's purpose and the provided tools.
The server is severely incomplete for its apparent domain of notes management. With only a basic arithmetic tool, there are no operations for creating, reading, updating, or deleting notes, leading to obvious gaps that will cause agent failures in handling notes-related tasks.
Maintenance
Related MCP Connectors
Save notes in seconds. Your AI can then search, read, write and tag them over MCP.
- TaprootOAuthcom.taproothq
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
MCP-native notes and memory for ChatGPT, Claude, and other AI tools.
Read and write your Caliu notes from any MCP client: search, create, tag, remind, attach files.
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