---
name: MCP Audit
slug: mcp-audit
category: AI Engineering
description: MCP Audit analyzes connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.
github: "https://github.com/rohitg00/pro-workflow/tree/main/skills/mcp-audit"
language: JavaScript
stars: 2775
forks: 270
install: "npx degit https://github.com/rohitg00/pro-workflow/tree/main/skills/mcp-audit ~/.claude/skills/mcp-audit"
installs_to: ~/.claude/skills/mcp-audit
source_path: skills/mcp-audit/SKILL.md
collection_size: 25
category_size: 2451
collection_url: "https://dirskills.com/collections/rohitg00/pro-workflow"
added: 2026-08-17T07:10:34.848Z
last_synced: 2026-08-17T07:10:34.848Z
canonical_url: "https://dirskills.com/skills/mcp-audit"
---

# MCP Audit

MCP Audit analyzes connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.

**Install:**

```bash
npx degit https://github.com/rohitg00/pro-workflow/tree/main/skills/mcp-audit ~/.claude/skills/mcp-audit
```

## README

# 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 servers