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Mcp Server

Organization
WellApp-ai
mcp-server

Guide for creating new MCP server integrations

Overview

PublisherWellApp-ai
RepositoryWell
Skill namemcp-server
Stars
342
Forks
48
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Mcp Server 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/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/mcp-server .claude/skills/mcp-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Server 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 Server 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 Server 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 Server Creation Guide

Use this skill when creating a new MCP server integration.

MCP Folder Structure

MCPs live in: ~/.cursor/projects/<project>/mcps/<server-name>/

mcps/
├── user-notion/
│   └── tools/
│       ├── API-retrieve-a-page.json
│       └── ...
├── cursor-ide-browser/
│   └── tools/
│       ├── browser_navigate.json
│       └── ...
└── user-n8n-mcp/
    └── tools/
        └── ...

Tool Descriptor Format

Each tool is a JSON file:

json
{
  "name": "tool-name",
  "description": "What this tool does",
  "arguments": {
    "type": "object",
    "properties": {
      "param1": { "type": "string", "description": "..." }
    },
    "required": ["param1"]
  }
}

Usage Pattern

  1. Read tool descriptor before calling
  2. Use CallMcpTool with server, toolName, arguments
  3. Handle response appropriately

Example Call

CallMcpTool:
  server: "user-notion"
  toolName: "API-retrieve-a-page"
  arguments: { "page_id": "abc123" }

Existing MCPs Reference

MCPCapabilities
user-notionPage/block CRUD, search, comments
cursor-ide-browserNavigation, clicks, screenshots, console
user-n8n-mcpWorkflow search, details, execution
user-context7Library docs lookup
figmaDesign specs, code generation from frames

Creating a New MCP

  1. Create folder: mcps/<server-name>/tools/
  2. Add tool descriptors as JSON files
  3. Configure server in ~/.cursor/mcp.json
  4. Restart Cursor (Cmd+Shift+P > "Reload Window")
  5. Test with CallMcpTool

Authentication Patterns

Pattern 1: API Token (env block)

For MCPs that use API keys (Notion, n8n):

json
"mcp-name": {
  "command": "npx",
  "args": ["-y", "@package/mcp-server"],
  "env": {
    "API_KEY": "your-token-here"
  }
}

Pattern 2: URL-based (no auth)

For MCPs that connect to local servers (Figma desktop):

json
"mcp-name": {
  "url": "http://127.0.0.1:PORT/mcp"
}

Pattern 3: OAuth (remote URL)

For MCPs that use browser OAuth (Figma remote):

json
"mcp-name": {
  "url": "https://service.com/mcp"
}

After adding, click "Connect" in Cursor MCP settings to authorize.

Troubleshooting

Installation loops infinitely:

  • Cancel and manually edit ~/.cursor/mcp.json
  • Add config block directly, then restart Cursor

MCP not appearing:

  • Check JSON syntax is valid
  • Verify package name is correct
  • Restart Cursor after changes

Best Practices

  • Always read tool schema before calling
  • Handle errors gracefully
  • Use descriptive tool names
  • Document required vs optional parameters

Frequently asked questions

What does the Mcp Server AI skill do?

Guide for creating new MCP server integrations

Why use Mcp Server on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/mcp-server. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mcp Server?

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 Server?

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

Is the Mcp Server AI skill free?

Yes. It is published on GitHub by WellApp-ai 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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