MCP 服务器

mcp-checkup

Diagnoses MCP server token costs, finds duplicates, grades efficiency, and generates optimization reports.

README

mcp-checkup

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

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

Per-Server Grades

Grade	Total Tokens	Meaning
A	≤500	Lean and efficient
B	≤1500	Reasonable
C	≤3000	Getting heavy
D	≤6000	Significant context cost
F	>6000	Major 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

Tool	Purpose	Approach
mcp-checkup	Diagnose token costs	Analyze & report — see exactly what each tool costs
lean-ctx	Reduce token usage	Compress context at runtime
MCP Inspector	Debug MCP servers	Test connections and tool calls