mcp

Expose MCP servers with stdio, SSE, and HTTP transports.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/esperie/new-project --skill mcp-esperie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp
Source: https://github.com/esperie/new-project/tree/main/.claude/skills/05-mcp
Command: npx skills add https://github.com/esperie/new-project --skill mcp-esperie

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a production-ready MCP (Model Context Protocol) server to enable AI agents to call structured tools, access resources, and operate across multiple transports in a secure, observable way.

Core Features & Use Cases

  • MCP Server Core: Full MCP specification implementation with stdio, SSE, and HTTP transports.
  • Tools & Resources: Expose tools and resources to agents with type-safe interfaces and resource lifecycles.
  • Security & Operations: Support authentication patterns, progress reporting, and auditing for production workloads.
  • Use Case: Build an AI assistant that can query databases, call workflows, and manage documents via MCP-enabled endpoints.

Quick Start

Create and run an MCPServer instance, configure a basic tool, and start the server to accept MCP requests via stdio or HTTP.

Frequently Asked Questions about mcp

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

FAQPage Schema
How do I build a Model Context Protocol server to expose tools to AI agents?

Expose tools and resources to AI agents using this production-ready Model Context Protocol server. It implements the full MCP specification with type-safe interfaces, allowing structured tools and resource lifecycles to be securely accessed by assistants via multiple transports.

What transports are supported for MCP server communication?

MCP server communication supports stdio, SSE, and HTTP transports. This allows real-time assistant workflows to connect to the server through standard input/output, server-sent events, or direct HTTP requests depending on the integration requirements.

Can I add authentication to an MCP server for production workloads?

Yes, you can add authentication to an MCP server for production workloads. This skill includes security patterns and authenticated access controls to ensure safe operations when AI agents query databases or manage documents via MCP-enabled endpoints.

How do I expose resources to AI assistants via Model Context Protocol?

Expose resources to AI assistants via Model Context Protocol by defining resource lifecycles within the MCP server. The server handles real-time resource exposure and structured tool access, enabling agents to query databases or call workflows securely.

Does MCP server support progress reporting for long-running agent tasks?

Yes, the MCP server supports progress reporting for long-running AI agent tasks. It includes operational features like auditing and progress reporting to ensure observable execution of structured tools and workflows in production environments.