Mcp Audit

CommunityPopular

rohitg00

mcp-audit

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

Overview

Publisher	rohitg00
Repository	`pro-workflow`
Skill name	`mcp-audit`
Stars	2.9K
Forks	286
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Mcp Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/mcp-audit .claude/skills/mcp-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Mcp Audit AI skill do?

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

Why use Mcp Audit on TypingMind?

Because you install it once and use it with any model. Mcp Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/mcp-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mcp Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Audit?

As many as you like. As long as a model supports skills, you can use Mcp Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Audit AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MCP Audit

Trigger

Key Insight

Audit Steps

Step 1: List Active Servers

Step 2: Count Tools Per Server

Step 3: Check Usage

Step 4: Recommend Actions

Output

Thresholds

Rules

Frequently asked questions

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