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Mcp

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alsk1992
mcp

Model Context Protocol server management and tool integration

Overview

Publisheralsk1992
RepositoryCloddsBot
Skill namemcp
Stars
2.8K
Forks
336
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alsk1992 on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/alsk1992/CloddsBot.git /tmp/CloddsBot
mkdir -p .claude/skills
cp -r /tmp/CloddsBot/src/skills/bundled/mcp .claude/skills/mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp 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 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 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 - Complete API Reference

Manage Model Context Protocol (MCP) servers, external tools, and AI integrations.


Chat Commands

Server Management

/mcp list                                   List configured MCP servers
/mcp status                                 Check server connection status
/mcp add <name> <command>                   Add new MCP server
/mcp remove <name>                          Remove MCP server
/mcp restart <name>                         Restart server

Tool Interaction

/mcp tools                                  List available tools
/mcp tools <server>                         Tools from specific server
/mcp call <server> <tool> [args]            Call a tool directly
/mcp resources <server>                     List server resources

Configuration

/mcp config <server>                        View server config
/mcp config <server> set <key> <value>      Update config
/mcp logs <server>                          View server logs

TypeScript API Reference

Create MCP Client

typescript
import { createMCPClient } from 'clodds/mcp';

const mcp = createMCPClient({
  // Transport
  transport: 'stdio',  // 'stdio' | 'sse'

  // Server command
  command: 'npx',
  args: ['-y', '@modelcontextprotocol/server-filesystem'],

  // Options
  timeout: 30000,
  retries: 3,
});

Connect to Server

typescript
// Connect
await mcp.connect();

// Check status
const status = mcp.getStatus();
console.log(`Connected: ${status.connected}`);
console.log(`Server: ${status.serverInfo?.name}`);
console.log(`Version: ${status.serverInfo?.version}`);

// Disconnect
await mcp.disconnect();

List Tools

typescript
// Get available tools
const tools = await mcp.listTools();

for (const tool of tools) {
  console.log(`${tool.name}: ${tool.description}`);
  console.log(`  Input schema: ${JSON.stringify(tool.inputSchema)}`);
}

Call Tool

typescript
// Call a tool
const result = await mcp.callTool({
  name: 'read_file',
  arguments: {
    path: '/path/to/file.txt',
  },
});

console.log(`Result: ${JSON.stringify(result)}`);

List Resources

typescript
// Get available resources
const resources = await mcp.listResources();

for (const resource of resources) {
  console.log(`${resource.uri}: ${resource.name}`);
  console.log(`  Type: ${resource.mimeType}`);
}

// Read a resource
const content = await mcp.readResource('file:///path/to/file.txt');
console.log(content);

List Prompts

typescript
// Get available prompts
const prompts = await mcp.listPrompts();

for (const prompt of prompts) {
  console.log(`${prompt.name}: ${prompt.description}`);
}

// Get prompt content
const prompt = await mcp.getPrompt('code-review', {
  code: 'function add(a, b) { return a + b; }',
});

console.log(prompt.messages);

MCP Registry

typescript
import { createMCPRegistry } from 'clodds/mcp';

const registry = createMCPRegistry({
  configPath: './mcp-servers.json',
});

// Add server
registry.addServer({
  name: 'filesystem',
  command: 'npx',
  args: ['-y', '@modelcontextprotocol/server-filesystem', '/home/user'],
  env: {},
});

// List servers
const servers = registry.listServers();

// Get server
const server = registry.getServer('filesystem');

// Remove server
registry.removeServer('filesystem');

// Start all servers
await registry.startAll();

// Stop all servers
await registry.stopAll();

Popular MCP Servers

ServerPurposeInstall
filesystemFile operations@modelcontextprotocol/server-filesystem
githubGitHub API@modelcontextprotocol/server-github
postgresDatabase queries@modelcontextprotocol/server-postgres
brave-searchWeb search@modelcontextprotocol/server-brave-search
puppeteerBrowser automation@modelcontextprotocol/server-puppeteer

Server Configuration

json
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/user"],
      "env": {}
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "ghp_..."
      }
    }
  }
}

CLI Commands

bash
# List MCP servers
clodds mcp list

# Add MCP server
clodds mcp add filesystem "npx -y @modelcontextprotocol/server-filesystem /home"

# Test server connection
clodds mcp test filesystem

# Remove server
clodds mcp remove filesystem

Best Practices

  1. Use official servers — Start with well-tested MCP servers
  2. Limit file access — Restrict filesystem server to specific directories
  3. Secure credentials — Use env vars for tokens, not command args
  4. Monitor logs — Check server logs for errors
  5. Timeout handling — Set appropriate timeouts for slow operations

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mcp AI skill do?

Model Context Protocol server management and tool integration

Why use Mcp on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/mcp. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mcp?

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?

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

Is the Mcp AI skill free?

Yes. It is published on GitHub by alsk1992 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.

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