# MCP Server Planning

> Plan an MCP server with clear tool scope, auth model, error behavior, evaluation approach, and rollout boundaries.

- Skill: `aibot88/mcp-server-planning` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add aibot88/mcp-server-planning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aibot88/mcp-server-planning/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: aibot88 (https://skillmd.com/u/aibot88)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/aibot88/mcp-server-planning

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Use this skill when a team wants to expose external capabilities through an MCP server.

Plan in this order:

- define the user tasks the MCP server must unlock
- choose the smallest useful tool surface before chasing endpoint completeness
- specify auth, secret handling, and least-privilege expectations
- design tool schemas and output shape for discoverability and safe automation
- define evaluation cases that prove the server is useful for real agent tasks

Deliver:

- candidate tools and responsibilities
- auth and secret-handling model
- failure and retry expectations
- evaluation plan
- rollout notes and open risks

Avoid:

- exposing raw API coverage without task-level value
- hiding side effects behind vague tool descriptions
- skipping evaluation until after implementation