mcp-checkup

Analyze your MCP setup: measure token cost per tool, find bloated schemas, detect duplicates, and get optimization tips to reclaim your context window.

GitHub

mcp-checkup

npm version npm downloads License: MIT

Your MCP servers are eating your context window. Find out how much.

mcp-checkup is an MCP server that analyzes your MCP setup — measuring the token cost of every installed server and tool, finding duplicates, grading efficiency, and generating optimization reports.

Quick Start

npx mcp-checkup

Then ask your AI assistant:

"Run an MCP health check on my setup"
"How many tokens are my MCP servers using?"
"Generate an MCP health report"

Why?

Every MCP tool costs 550–1,400 tokens just for its schema. A server with 50 tools can eat 30,000+ tokens before you type anything. Most developers have no idea how much context window their MCP servers are consuming.

Real examples from the community:

  • Adding GitHub MCP increased one user's token usage from 34K to 80K (source)
  • One developer found 67,000 tokens consumed by just 4 servers before any conversation (source)
  • Context7 (240K weekly downloads) has tool descriptions costing 3x more tokens than necessary (source)

Tools

analyze_servers

Scan your MCP config and measure the token cost of every installed server. Auto-detects config files.

"Which of my MCP servers costs the most tokens?"

analyze_tools

Deep-dive into a specific server — per-tool token costs, grades, bloated descriptions, and optimization suggestions.

"Break down the token cost of my GitHub MCP server"

find_duplicates

Find duplicate tool names across your installed servers. Redundant tools waste context for no benefit.

"Do any of my MCP servers have overlapping tools?"

count_tokens

Count tokens in any text. Useful for estimating context usage.

"How many tokens is this prompt?"

generate_report

Full markdown health report: server grades (A-F), token costs, duplicates, and actionable recommendations.

"Generate a full MCP health report"

Grading System

Per-Tool Grades

GradeTokensMeaning
A≤100Excellent — minimal context cost
B≤300Good — reasonable schema size
C≤600Fair — could be optimized
D≤1000Poor — bloated schema
F>1000Failing — severely impacts context window

Per-Server Grades

GradeTotal TokensMeaning
A≤500Lean and efficient
B≤1500Reasonable
C≤3000Getting heavy
D≤6000Significant context cost
F>6000Major context window drain

Installation

Claude Desktop / Claude Code

{
  "mcpServers": {
    "mcp-checkup": {
      "command": "npx",
      "args": ["-y", "mcp-checkup"]
    }
  }
}

Cursor

Add to .cursor/mcp.json with the same format.

Auto-Detection

mcp-checkup automatically finds your MCP config in these locations:

  • .mcp.json (current directory)
  • Claude Desktop config (Windows/macOS/Linux)
  • .cursor/mcp.json

Or pass a custom path to any tool.

How It Compares

ToolPurposeApproach
mcp-checkupDiagnose token costsAnalyze & report — see exactly what each tool costs
lean-ctxReduce token usageCompress context at runtime
MCP InspectorDebug MCP serversTest connections and tool calls

Use mcp-checkup first to find the problem, then decide how to fix it.

Part of the MCP Toolkit

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License

MIT

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