mcp-audit
The mcp-audit skill analyzes connected Model Context Protocol servers to identify token overhead, tool redundancy, and security concerns. Use it when sessions feel sluggish, before adding new MCP servers, or when context window fills quickly, as each server adds its complete tool descriptions to every API request regardless of actual usage.
git clone --depth 1 https://github.com/rohitg00/pro-workflow /tmp/mcp-audit && cp -r /tmp/mcp-audit/skills/mcp-audit ~/.claude/skills/mcp-auditSKILL.md
# MCP Audit
Analyze MCP server overhead and recommend cleanup.
## Trigger
Use when:
- Sessions feel slow or expensive
- Adding a new MCP server
- Context fills up quickly
- Reviewing project configuration
## Key Insight
Each MCP server adds ALL its tool descriptions to every API request. A server with 20 tools adds ~2K-4K tokens per request, regardless of whether you use those tools.
## Audit Steps
### Step 1: List Active Servers
Check all MCP configurations:
```bash
cat .claude/settings.json 2>/dev/null | grep -A 50 "mcpServers"
cat ~/.claude/settings.json 2>/dev/null | grep -A 50 "mcpServers"
```
### Step 2: Count Tools Per Server
For each server, estimate token overhead:
- 1-5 tools: ~200-500 tokens (low overhead)
- 6-15 tools: ~500-1500 tokens (moderate)
- 16-30 tools: ~1500-3000 tokens (high)
- 30+ tools: ~3000+ tokens (excessive — consider tool filtering)
### Step 3: Check Usage
Questions to ask:
- Which servers were actually used this session?
- Which servers haven't been used in 7+ days?
- Are there servers with overlapping functionality?
- Are there servers only needed for specific tasks?
### Step 4: Recommend Actions
**Disable** servers that:
- Haven't been used in 7+ days
- Overlap with another active server
- Are project-specific but you're in a different project
**Keep** servers that:
- Are used every session (filesystem, git)
- Provide unique capabilities needed for current work
- Have low tool count (<5 tools)
## Output
```text
MCP AUDIT
Active servers: [N]
Total tools: [N]
Estimated overhead: ~[N]K tokens per request
Server Analysis:
[name] — [N] tools, ~[N] tokens
Status: KEEP / DISABLE / REVIEW
Reason: [why]
Recommendations:
Disable: [list]
Keep: [list]
Review: [list]
Projected savings: ~[N]K tokens per request (~$X.XX per session)
```
## Thresholds
- Total servers: <10 (ideal), 10-15 (monitor), >15 (reduce)
- Total tools: <80 (ideal), 80-120 (monitor), >120 (reduce)
- Per-server: <15 tools (ok), 15-30 (filter), >30 (split or disable)
## Rules
- Never disable servers without user confirmation
- Estimate token savings for each recommendation
- Consider task context — a server might be unused today but critical tomorrow
- Check for `disabledMcpjsonServers` to avoid re-recommending already-disabled serversCoordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
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Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.
Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".
Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
Analyzes and optimizes context window usage across sessions. Use when context feels bloated, sessions run slow, or approaching compaction limits.
Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.