multiAI Summary Pending
agentic-mcp-server-builder
Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/agentic-mcp-server-builder/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0x-professor/agentic-mcp-server-builder/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agentic-mcp-server-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agentic-mcp-server-builder Compares
| Feature / Agent | agentic-mcp-server-builder | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Agentic MCP Server Builder ## Overview Create a minimal MCP server scaffold and contract summary from a structured tool list. ## Workflow 1. Define server name and tool list with descriptions. 2. Generate scaffold file map and tool contract summary. 3. Optionally materialize starter files when not in dry-run mode. 4. Review generated contract checks before adding business logic. ## Use Bundled Resources - Run `scripts/scaffold_mcp_server.py` to generate starter artifacts. - Read `references/mcp-scaffold-guide.md` for file layout and contract checks. ## Guardrails - Keep tool boundaries explicit and minimal. - Include deterministic outputs and clear input/output schemas.