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MCP Server Building

A step-by-step playbook for designing, implementing, hardening, and verifying production-grade MCP servers.

Dev & CodingAdvanced★ 169⑂ 32AI score 9/10Last updated: Aug 9, 2026

What it does

  • Forces you to define scope, trust boundaries, transport (stdio vs. HTTP), identity flow, and explicit non-goals before coding.
  • Standardizes the tool catalog: structural input/output/error schemas, effect inventory (read, write, delete, billable, egress), data classes, authorization mode, idempotency.
  • Supplies unit, integration, authorization, and protocol-interoperability test lists plus a rule to report only evidence actually observed.
  • Covers deployment flags, rollback, health checks, audit events, and credential revocation for incident response.
  • Ships with a design template, a tool-manifest lint script, and a server-design checklist.

Who it's for

  • Backend/platform engineers building a new MCP server or exposing an existing API or data store through MCP.
  • Teams that need a security and authorization review before shipping an MCP server to production.
  • AI agent engineers standardizing tool schemas and caller-safe error codes.

Examples

  1. "Build a read-only inventory MCP server" → region-scoped store IDs, capped search results, redacted supplier costs, and negative tests proving a wrong-region object returns a generic forbidden error.
  2. "Add a ticket update tool" → split draft and apply tools, require a short-lived approval bound to ticket ID, patch hash, and actor, plus idempotency keys and audit events.
  3. "Review my MCP server design" → run the manifest lint, exercise schema bounds, test cross-tenant and wrong-audience token cases, and report evidence with residual risks.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/seb1n/awesome-ai-agent-skills/HEAD/agent-engineering/mcp-server-building/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the agent-engineering/mcp-server-building folder from the GitHub repo seb1n/awesome-ai-agent-skills into my ~/.claude/skills/mcp-server-building/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/seb1n/awesome-ai-agent-skills.git /tmp/aias && mkdir -p ~/.claude/skills && cp -r /tmp/aias/agent-engineering/mcp-server-building ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repository: git clone https://github.com/seb1n/awesome-ai-agent-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill in: cp -r awesome-ai-agent-skills/agent-engineering/mcp-server-building ~/.claude/skills/
  5. Verify with ls ~/.claude/skills/mcp-server-building — you should see SKILL.md and the assets/scripts/references folders.
  6. Restart Claude Code, then ask something like "design an MCP server for our orders API" to trigger the skill.
  7. Python 3 is required if you want to run the manifest validation script (python3 --version).
View source on GitHub ↗License: MIT