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mcp-protocol

Create and connect MCP servers exposing tools, resources, and prompts.

Updated Feb 26, 2026
Search Tags:#prompt engineering#mcp#api integration#model context protocol#llm tools#fastmcp
One-click install
npx skills add https://github.com/Umbral-Bot/umbral-agent-stack --skill mcp-protocol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-protocol
Source: https://github.com/Umbral-Bot/umbral-agent-stack/tree/main/openclaw/workspace-templates/skills/mcp-protocol
Command: npx skills add https://github.com/Umbral-Bot/umbral-agent-stack --skill mcp-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastmcp, and includes references (resource) components.

What problem does it solve?

This Skill streamlines the integration of Large Language Models (LLMs) with external tools, data resources, and prompt templates, enabling LLMs to interact with the real world in a standardized way.

Core Features & Use Cases

  • Tool Exposure: Define and expose functions (tools) that LLMs can call to perform actions.
  • Resource Access: Provide LLMs with read-only access to data and configuration (resources).
  • Prompt Management: Offer reusable prompt templates for consistent LLM responses.
  • Use Case: Integrate a custom database query tool or an external API into your LLM application, allowing it to fetch live data or perform complex operations.

Quick Start

Create a basic MCP server using FastMCP that exposes a 'sumar' tool.

Frequently Asked Questions about mcp-protocol

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect an LLM to external tools and data sources?▼

You connect an LLM to external tools by building a Model Context Protocol (MCP) server that exposes functions, data resources, and prompt templates for the model to interact with.

What is the Model Context Protocol used for?▼

The Model Context Protocol standardizes how LLMs interact with external tools and read-only data resources, allowing applications to fetch live data or perform complex operations.

How do I create an MCP server in Python using FastMCP?▼

You create an MCP server in Python with FastMCP by defining tools, configuring resource templates, and managing prompts for LLM interaction before deploying it to your platform.

Can I integrate an MCP server with Claude Desktop?▼

Yes, you can integrate MCP servers built with FastMCP into platforms like OpenClaw and Claude Desktop to expose custom tools and resources directly to the LLM.

What is the difference between tools and resources in MCP?▼

In MCP, tools are functions that LLMs call to perform actions, while resources provide read-only access to data and configuration needed for application context.

Do I need FastMCP to use the Model Context Protocol?▼

FastMCP is the required dependency for this approach, providing the framework to define tools, resources, and prompts for custom server development in Python.

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