mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/mcp-builderskilz install mjunaidca/mjs-agent-skills/mcp-builder --agent opencodeskilz install mjunaidca/mjs-agent-skills/mcp-builder --agent codexskilz install mjunaidca/mjs-agent-skills/mcp-builder --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/mjunaidca/mjs-agent-skillscp -r mjs-agent-skills/docs/taskflow-vault/skills/engineering/mcp-builder ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Stars
- 1
- Forks
- 2
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Market Score
- 17
Agent Skill Grade
A Score: 90/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC in long files
- Second-person usage
- Docker section placement
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I've been diving into MCP implementations lately, and your approach to wrapping the builder pattern is pretty thoughtful—especially how you handle the validation flow without over-engineering it. Scored a solid 90, so curious what you'd prioritize if you were to iterate on it next.
Links:
The TL;DR
You're at 90/100, A territory. This is based on Anthropic's Claude Skills Best Practices. Your strongest area is Ease of Use (23/25)—the trigger terms and workflow clarity are solid. The weakest spot is Spec Compliance (13/15), mainly because you're only using 1-2 trigger phrases when you could be more explicit.
What's Working Well
- Layered structure is chef's kiss. SKILL.md stays tight at 314 lines with 5 focused reference files. That's how you do Progressive Disclosure right—no token waste, but comprehensive when developers dig deeper.
- Your trigger terms nail discoverability. "MCP server," "FastMCP," "Python SDK," "Node SDK"—these activate naturally when someone needs to build something. That's why Ease of Use scored 23/25.
- The 4-phase workflow is clear. Research → Implementation → Testing → Evaluation, each with actionable subsections and checklists. Developers know exactly what phase they're in and what to do next.
- Examples in both Python and TypeScript. Shows you understand your audience isn't monolithic. That adds real utility (18/20 there).
The Big One: Missing Navigation in Long Files
Your reference files are dense—719, 970, 602 lines in some cases—but no table of contents. This kills navigation signals and costs you 2-3 points on Progressive Disclosure.
The fix: Add a TOC right after the frontmatter in SKILL.md and any reference file over 100 lines...
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