creating-mcp-servers

Automate creation and packaging of FastMCP v2 servers into validated MCPB bundles.

Updated Dec 1, 2025
One-click install
npx skills add https://github.com/billlzzz18/bl1nk-skill-platform --skill creating-mcp-servers-billlzzz18
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: creating-mcp-servers
Source: https://github.com/billlzzz18/bl1nk-skill-platform/tree/main/skill/skillsmp_creating-mcp-servers
Command: npx skills add https://github.com/billlzzz18/bl1nk-skill-platform --skill creating-mcp-servers-billlzzz18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Builds production-ready MCP servers using FastMCP v2 with context-efficient patterns, progressive loading, and packaging for distribution.

Core Features & Use Cases

  • Apply four mandatory patterns (uv-based dependency management, authoritative docs fetch, optimized tool descriptions, and strategic tool selection).
  • Implement progressive disclosure for 5+ capabilities to reduce context load.
  • Optimize tool descriptions for concise, high-density instructions.
  • Bundle servers as MCPB files with validation.
  • Proven gateway patterns for scalable, multi-capability servers.

Quick Start

Start by inspecting references/MANDATORY_PATTERNS.md, then use the MCPB bundling workflow:

  • Inspect and implement patterns
  • Bundle your server with the provided script: python scripts/create_mcpb.py server.py --name <server-name> --version 1.0.0

Frequently Asked Questions about creating-mcp-servers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a production-ready MCP server with FastMCP?

Production MCP servers with FastMCP v2 require four mandatory patterns: uv-based dependency management, authoritative documentation fetching, optimized tool descriptions, and strategic tool selection. Start by inspecting references/MANDATORY_PATTERNS.md, then implement these patterns in your server code before bundling.

What is progressive disclosure and why does it matter for MCP servers?

Progressive disclosure loads capabilities incrementally rather than exposing all tools at once, reducing context usage. For MCP servers with 5+ capabilities, this pattern prevents token waste by revealing tools strategically based on user need, improving performance and cost efficiency.

How do I package an MCP server as an MCPB bundle?

Use the provided bundling script to package your server: `python scripts/create_mcpb.py server.py --name <server-name> --version 1.0.0`. This creates an MCPB bundle with manifest validation, making your server ready for distribution and deployment.

What makes tool descriptions efficient in MCP servers?

Optimized tool descriptions are concise, high-density instructions that reduce context overhead. The Skill enforces patterns for writing clear, minimal descriptions that convey full functionality without verbose explanations, lowering token consumption during execution.

Can I use this approach for servers with many capabilities?

Yes. The Skill is designed for scalable, multi-capability servers using gateway patterns and progressive disclosure. It handles optimization for servers with 5+ tools, enabling you to build complex servers without exploding context requirements.

Does uv-based dependency management work with existing Python tools?

uv replaces pip for faster, deterministic dependency resolution and is a mandatory pattern in this Skill. It integrates with standard Python packaging and ensures reproducible builds for production MCP servers.