mcp-server-builder_skill

This skill generates production-ready MCP servers in Python or TypeScript with Tools, Resources, and Prompts following best practices.
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2 months ago

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4 months ago

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Readme & install

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Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill ntaksh42/agents --skill mcp-server-builder

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Overview

This skill generates production-ready Model Context Protocol (MCP) servers with best practices and full feature support. It can scaffold Python or TypeScript servers (and templates for other languages) including tools, resources, and prompts, plus logging, validation, tests, and deployment-ready configuration. The output is opinionated for secure, observable, and maintainable MCP services.

How this skill works

Provide a name, target language, and the MCP capabilities you need (tools, resources, prompts). The skill produces a complete project layout: server bootstrap, handlers, input schema validation, logging to stderr, test suites, and README/API docs. It includes environment examples, optional Claude Desktop config, and guidance for authentication, error handling, and performance tuning.

When to use it

  • You need a standardized MCP server to expose tools or data to LLMs.
  • Rapidly prototyping production-ready MCP endpoints in Python or TypeScript.
  • Onboarding teams to MCP with examples, tests, and best-practice patterns.
  • Creating LLM toolchains that require validated inputs, resource access, or reusable prompts.

Best practices

  • Always log to stderr; keep stdout reserved for MCP protocol messages.
  • Validate all incoming arguments with Zod (TypeScript) or Pydantic (Python).
  • Implement comprehensive error handling that returns clear protocol errors and logs traces.
  • Include tests and CI steps that run unit tests and schema validation.
  • Design handlers to be async/non-blocking and limit expensive operations with timeouts.

Example use cases

  • TypeScript calculator server exposing add/subtract/multiply/divide tools with Zod validation and pino logging.
  • Python file-manager exposing file read/write tools plus resource listing, using Pydantic and asyncio.
  • Code-review assistant that exposes reusable prompt templates for security and performance reviews.
  • Database-manager production server with query tools, schema resources, API-key authentication, and detailed logging.

FAQ

Primary templates target TypeScript and Python; C# and Go templates are indicated for additional SDK support.

How does logging work?

Log to stderr only. Use pino or winston in TypeScript and the standard logging module in Python to avoid interfering with protocol stdout.

Does the skill include tests and docs?

Yes. Generated projects include unit tests, README, API spec examples, and .env examples for secure configuration.

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