Connect Your Own Systems to AI Tools via MCP
A working MCP server in 2 days8 steps3 tools
What this scenario solves
Every AI tool needs its own integration rebuilt, and internal systems stay unusable by agents.
Tool stack
Not the only solution, but a stack we have verified end to end. Each tool links to its full review, including who it is not for.
What you end up with
You get
One implementation usable across tools, with permission controls and optimised tool descriptions.
Full steps
- 01Tool(工具)
- 02Resource(資源)
- 03Prompt(提示模板)
- 04實戰:構建自定義 MCP Server
- 05安全考量
Articles carrying the full content
- MCP (Model Context Protocol) Ecosystem Explained: The Three Core Primitives of Tool, Resource, and Prompt
A complete guide to Anthropic's MCP protocol: the design principles behind Tools, Resources, and Prompt Templates, practical configuration, and Claude Code integration.
2026-05-1010 minRead - The Role and Configuration of the MCP Protocol in a Three-Layer Agent Framework
The respective roles and configuration of the Model Context Protocol in Hermes Agent (not supported), OpenClaw (orchestration layer), and Claude Code (execution layer).
2026-05-105 minRead
Adjacent scenarios
- A Multilingual Localisation Pipeline with Quality ChecksA verified pipeline in 1 day · 7 steps
- Divide a Complex Task Across Multiple AgentsA working division-of-labour setup in 1 day · 8 steps
- Refactoring an Existing Codebase: Understand First, Then ChangeComprehension plus a safe first refactor in 1 day · 8 steps
Other scenarios using
- Claude Code in other scenarios
- OpenClaw in other scenarios
- Cursor in other scenarios
Level: Advanced · Tracks: Developer Track · Business Track · Last verified: 2026-09-29