Pre-coding routine with Claude Code: 5 MCP servers before writing a line

A Reddit user shared a pre-coding routine for Claude Code that uses five MCP servers before letting the model write any code. The routine takes 60-90 seconds and reportedly saves hundreds of hours by reducing hallucinations — wrong class names, outdated SDK methods, and advice that doesn't match the actual codebase.

The five MCP servers

• Memory MCP: Carries context across sessions — last sprint goals, open decisions, recent learnings, rationale for past tech choices. Without it, each session starts cold and the model rebuilds reasoning from scratch, often incorrectly.
• Codebase-memory server: Builds a knowledge graph of the repo — functions, callers, dependencies, cycles. Instead of grepping blindly, Claude queries the graph (e.g., "what calls processOrder"). One tool call replaces dozens of file reads.
• Tavily search: Searches current practices before non-trivial decisions. Training data is old; best practices shift. Tavily provides clean answers with sources.
• Context7: Fetches current library docs for whatever you're about to use (Anthropic SDK, Next.js, Prisma, etc.). The training cutoff means Claude can invent API methods that were renamed two versions ago. Loading actual docs eliminated that bug.
• Write code: With memory, codebase structure, current ecosystem context, and accurate docs, output shifts from "let me try and see" to "based on the call graph and v5 docs, the change goes here."

Hooks that keep the model honest

The post also highlights two hooks:

• Read-before-edit guard: Refuses any edit on a file the session hasn't read first. Costs extra tokens upfront but prevents blind edits that waste more tokens on cleanup.
• Safety guard: Blocks destructive commands.
• Re-index after edits: Automatically syncs the knowledge graph after changes.

The loop closes by saving whatever worked back into memory: decisions, patterns, traps, fixes. The system compounds every week as context accumulates.

The author's underlying insight: the model is not the source of knowledge — it's the orchestrator. MCP servers and hooks are the system. Memory remembers, the graph knows code, search knows the present, Context7 knows docs, hooks keep the model honest. The model just connects them.