MCP Server Starter
The MCP Server Starter is a TypeScript-based framework for building and managing Model Context Protocol (MCP) tool servers.
Create and manage MCP tools: Generate new tools with structured directories, implementations, schemas, and tests using the provided scripts.
Hello tool: Includes a sample
hello_toolthat takes a requirednameinput and returns a greeting.Development tools: Utilizes Bun for fast testing, Biome for linting/formatting, and standard-version for automated version management.
JSON schema validation: Validates tool parameters through defined schemas.
Claude Desktop integration: Easily configure your server to work with Claude Desktop.
Publishing: Share your server as an npm package for others to use.
Used for linting and formatting code in the MCP server
Used for fast testing and development of the MCP server
The MCP server can be published to npm and installed from npm
The MCP server is built using TypeScript
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., "@MCP Server Startercreate a new tool called 'currency-converter'"
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.
MCP Server Starter
A production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript.
🚀 Quick Start
Clone the repository
Install dependencies:
bun install
Related MCP server: MCP Server Starter
✨ Key Features
Bun for fast testing and development
Biome for linting and formatting
Automated version management with standard-version
Clean, maintainable project structure
📂 Project Structure
mcp-starter/
├── src/
│ ├── tools/ # MCP tools implementation
│ ├── utils/ # Shared utilities
│ ├── main.ts # Server entry point
│ └── types.ts # Shared type definitions
├── tests/ # Test files
├── biome.json # Linting configuration
├── tsconfig.json # TypeScript configuration
└── package.json # Project dependencies⚙️ Configuration
Creating New Tools
The project includes a script to help create new MCP tools:
bun run scripts/create-tool.ts <tool-name>This will:
Create a new tool directory under
src/tools/<tool-name>Generate the basic tool structure including:
index.ts (main implementation)
schema.ts (JSON schema for tool parameters)
test.ts (test file)
Update the tools index file to export the new tool
Example:
bun run scripts/create-tool.ts weather🛠️ Development
Run tests:
bun testFormat code:
bun run formatLint code:
bun run lintBuild project:
bun run build
To add your development MCP server to Claude Desktop:
Build the project:
bun run buildAdd to your Claude Desktop config:
// You only need the argument if you need to pass arguments to your server { "mcpServers": { "your-server-name": { "command": "node", "args": ["/path/to/your/project/dist/main.js", "some_argument"] } } }
📜 Version Management
This project uses standard-version for automated version management. Run bun run release to create a new version.
Commit Message Format
feat: New feature (bumps minor version)fix: Bug fix (bumps patch version)BREAKING CHANGE: Breaking change (bumps major version)
📦 Publishing to npm
Ensure you're logged in to npm:
npm loginBuild the project:
bun run buildPublish the package:
npm publish
Remember to update the version number using bun run release before publishing new versions.
Installing from npm (after publishing)
Add to your Claude Desktop config:
// You only need the argument if you need to pass arguments to your server
{
"mcpServers": {
"your-server-name": {
"command": "npx",
"args": ["-y", "your-package-name", "some_argument"]
}
}
}Available Tools
1 toolhello_toolD
Hello tool
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The name of the person to greet |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Hello tool' reveals nothing about whether this is a read/write operation, what permissions might be required, what side effects occur, or what the response format looks like. The description fails to provide any behavioral context beyond the minimal implication from the name.
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?
While technically concise with only two words, this represents under-specification rather than effective conciseness. The description doesn't contain enough information to be useful, and the single phrase doesn't earn its place by providing meaningful guidance to an AI agent.
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 that there are no annotations and no output schema, the description should provide more complete context about what this tool does and what to expect. A single-parameter tool with 100% schema coverage could get by with minimal description, but 'Hello tool' fails to explain the basic purpose and behavior adequately for an AI agent.
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?
Schema description coverage is 100%, so the schema already fully documents the single 'name' parameter. The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description.
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 'Hello tool' is essentially a tautology that restates the tool name without specifying what it does. It doesn't provide a clear verb+resource combination or explain the actual function. While the name suggests greeting functionality, the description fails to articulate this explicitly.
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 absolutely no guidance about when to use this tool, what context it's appropriate for, or any prerequisites. There are no sibling tools mentioned, but even basic usage context is completely missing from the description text.
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
hello_tool
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The single tool's purpose is clearly distinct by default, eliminating any risk of misselection.
The tool name 'hello_tool' follows a consistent snake_case pattern, and with only one tool, there is no inconsistency in naming conventions. The naming is straightforward and predictable within this minimal set.
A single tool is generally too few for a server's purpose, as it suggests a very limited or trivial scope that may not support meaningful agent workflows. This is borderline for appropriateness, leaning toward insufficient coverage for typical MCP server use cases.
With only one tool named 'hello_tool', the server's domain is unclear, making it impossible to assess coverage meaningfully. There are likely significant gaps for any inferred purpose, as a single tool cannot provide CRUD/lifecycle operations or a coherent workflow, leading to severe incompleteness.
Maintenance
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