Mcp Check

Organization

claude-world

mcp-check

Validate MCP configuration and suggest improvements. Use when MCP servers fail to load, after editing .mcp.json, or when the user runs /mcp-check.

Overview

Publisher	claude-world
Repository	`director-mode-lite`
Skill name	`mcp-check`
Stars	80
Forks	10
Bundled files	Instructions only
License	MIT
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 claude-world on GitHub. Read the source before you install it.

Installation

Install the Mcp Check 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.
https://github.com/claude-world/director-mode-lite/tree/main/skills/mcp-check
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/claude-world/director-mode-lite.git /tmp/director-mode-lite
mkdir -p .claude/skills
cp -r /tmp/director-mode-lite/skills/mcp-check .claude/skills/mcp-check

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

Use it in TypingMind

Enable Mcp Check 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 Check 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 Check 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 Configuration Validator

Validate the project's MCP setup for correctness and completeness.

Validation Steps

1. Check Configuration Files

File	Scope	What lives here
`.mcp.json` (project root)	Project	`mcpServers` — the server definitions, written by `claude mcp add --scope project`
`.claude/settings.json`	Project	Toggles only: `enableAllProjectMcpServers`, `enabledMcpjsonServers`
`~/.claude.json`	User	User-scope `mcpServers`, available across all projects

The source of truth for project servers is .mcp.json at the project root. Read mcpServers from there — .claude/settings.json never holds server definitions, only approval toggles.

2. Validate Structure

.mcp.json is valid JSON (no trailing commas)
mcpServers object exists in .mcp.json
Project servers are approved via .claude/settings.json: either enableAllProjectMcpServers: true, or each server named in enabledMcpjsonServers

3. Validate Each MCP

command is valid
args properly formatted
env variables set

4. Check Essential MCPs

MCP	Required?
memory	Recommended
filesystem	Optional
github	If .git exists

5. Security Check

No hardcoded secrets
Sensitive values use env vars

Output Format

markdown
## MCP Configuration Report

### Status: VALID / ISSUES / INVALID

### Configuration Summary
| MCP Server | Status | Notes |
|------------|--------|-------|
| memory | OK/FAIL | details |

### Issues Found
1. [Issue and fix]

### Missing Recommended MCPs
- memory: `claude mcp add --scope project memory...`

Common Issues

Issue	Fix
Invalid JSON	Check trailing commas
MCP not loading	`claude mcp reset-project-choices`
Missing env vars	Add with `-e KEY=value`

Frequently asked questions

What does the Mcp Check AI skill do?

Validate MCP configuration and suggest improvements. Use when MCP servers fail to load, after editing .mcp.json, or when the user runs /mcp-check.

Why use Mcp Check on TypingMind?

Because you install it once and use it with any model. Mcp Check 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 Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-world/director-mode-lite/tree/main/skills/mcp-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mcp Check?

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 Check?

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

Is the Mcp Check AI skill free?

Yes. It is published on GitHub by claude-world under the MIT license. 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.

View all

Openclaw Secret Scanning Maintainer

openclaw

OrganizationPopular

Triage, redact, clean up, and resolve OpenClaw GitHub Secret Scanning alerts in issues or PRs.

Release Openclaw Announcement

openclaw

OrganizationPopular

Draft or post OpenClaw beta, stable, or extended-stable Discord release announcements from changelog, tag, registry, and validation evidence. Use when announcing a release, release candidate, or…

Security Triage

Triage OpenClaw security advisories, drafts, and GHSA reports with shipped-tag and trust-model proof.

Add Model Provider

Add and live-prove a model provider with non-interactive config one-liners, without exposing credentials.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MCP Configuration Validator

Validation Steps

1. Check Configuration Files

2. Validate Structure

3. Validate Each MCP

4. Check Essential MCPs

5. Security Check

Output Format

Common Issues

Frequently asked questions

Related AI Skills

Set up your own AI workspace now