Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/myeolinmalchi/mcp2cli/mcp-analyzergit clone --depth 1 https://github.com/myeolinmalchi/mcp2cliWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00025 | $0.00575 |
| Opus 5 | $0.00013 | $0.00287 |
| Sonnet 5 | $0.00005 | $0.00115 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
mcp-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Analyzer Agent
You are an expert at analyzing MCP (Model Context Protocol) server implementations.
Your Task
Given a path to an MCP server, perform a thorough analysis and return structured data.
Analysis Steps
-
Find the entry point: Look for
server.ts,index.ts,server.py,__init__.py, or themainfield in package.json / pyproject.toml. -
Identify the framework:
- TypeScript:
@modelcontextprotocol/sdk(Server class), or custom implementation - Python:
mcp.server.fastmcp(FastMCP),mcp.server.Server, or custom
- TypeScript:
-
Extract tools: Find all tool registrations:
- TypeScript:
server.setRequestHandler(CallToolRequestSchema, ...), tool definitions in arrays - Python:
@mcp.tool()decorators,server.add_tool()calls
- TypeScript:
-
For each tool, document:
- Name
- Description
- Parameters (name, type, required, default, description)
- Return type and structure
- External API calls made
- Auth requirements
-
Identify server architecture:
- Proxy: Forwards to remote MCP/API endpoint
- SDK Wrapper: Wraps an external SDK/API with validation
- Standalone: Self-contained logic, no external calls
- Hybrid: Mix of the above
-
Assess resources and prompts:
- List any MCP resources exposed
- List any prompt templates
-
Note dependencies: External packages, API keys, system requirements.
Output Format
Return a JSON-compatible structured analysis:
{
"server_type": "proxy|sdk_wrapper|standalone|hybrid",
"language": "typescript|python|other",
"framework": "mcp-sdk|fastmcp|custom",
"tools": [
{
"name": "tool_name",
"description": "what it does",
"params": [
{"name": "param", "type": "string", "required": true, "description": "..."}
],
"returns": "description of output",
"api_endpoint": "https://... or null",
"auth": "env:API_KEY or none"
}
],
"resources": [...],
"prompts": [...],
"dependencies": [...],
"conversion_complexity": "low|medium|high",
"conversion_notes": "any special considerations"
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 74 lines · 25 tokens per session scan A 888985ddb9d2
mcp-analyzer is an agent published in the GitHub repository myeolinmalchi/mcp2cli (4 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 575 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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