mcp-server-patterns
Lets your agent build MCP servers using Node/TypeScript. Helps set up tools, resources, and data validation for the server.
What it does
This tool helps build and manage servers for AI assistants. It allows the assistant to use your tools, access your data, and follow specific instructions.
When to use it
- ✓When creating a new server for an AI assistant.
- ✓When adding new features (tools or data) to the server.
- ✓When troubleshooting server connection or functionality issues.
Example of what to ask your AI
“How do I set up my server so the assistant can use a search tool?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You define 'tools' (actions the AI can perform), 'resources' (data the AI can read), and 'prompts' (pre-defined instructions). The server then connects to the assistant using different methods, like direct communication (stdio) or over the internet (HTTP).
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill mcp-server-patternsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/pi/core/skills/mcp-server-patterns/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
MCP Server Patterns
The Model Context Protocol (MCP) lets AI assistants call tools, read resources, and use prompts from your server. Use this skill when building or maintaining MCP servers. The SDK API evolves; check Context7 (query-docs for "MCP") or the official MCP documentation for current method names and signatures.
For the broader routing decision of when a capability should be a rule, a skill, MCP, or a plain CLI/API workflow, see docs/capability-surface-selection.md.
When to Use
Use when: implementing a new MCP server, adding tools or resources, choosing stdio vs HTTP, upgrading the SDK, or debugging MCP registration and transport issues.
How It Works
Core concepts
- Tools: Actions the model can invoke (e.g. search, run a command). Register with
registerTool()ortool()depending on SDK version. - Resources: Read-only data the model can fetch (e.g. file contents, API responses). Register with
registerResource()orresource(). Handlers typically receive auriargument. - Prompts: Reusable, parameterised prompt templates the client can surface (e.g. in Claude Desktop). Register with
registerPrompt()or equivalent. - Transport: stdio for local clients (e.g. Claude Desktop); Streamable HTTP is preferred for remote (Cursor, cloud). Legacy HTTP/SSE is for backward compatibility.
The Node/TypeScript SDK may expose tool() / resource() or registerTool() / registerResource(); the official SDK has changed over time. Always verify against the current MCP docs or Context7.
Connecting with stdio
For local clients, create a stdio transport and pass it to your server’s connect method. The exact API varies by SDK version (e.g. constructor vs factory). See the official MCP documentation or query Context7 for "MCP stdio server" for the current pattern.
Keep server logic (tools + resources) independent of transport so you can plug in stdio or HTTP in the entrypoint.
Remote (Streamable HTTP)
For Cursor, cloud, or other remote clients, use Streamable HTTP (single MCP HTTP endpoint per current spec). Support legacy HTTP/SSE only when backward compatibility is required.
Examples
Install and server setup
npm install @modelcontextprotocol/sdk zod
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { z } from "zod";
const server = new McpServer({ name: "my-server", version: "1.0.0" });
Register tools and resources using the API your SDK version provides: some versions use server.tool(name, description, schema, handler) (positional args), others use server.tool({ name, description, inputSchema }, handler) or registerTool(). Same for resources — include a uri in the handler when the API provides it. Check the official MCP docs or Context7 for the current @modelcontextprotocol/sdk signatures to avoid copy-paste errors.
Use Zod (or the SDK’s preferred schema format) for input validation.
Best Practices
- Schema first: Define input schemas for every tool; document parameters and return shape.
- Errors: Return structured errors or messages the model can interpret; avoid raw stack traces.
- Idempotency: Prefer idempotent tools where possible so retries are safe.
- Rate and cost: For tools that call external APIs, consider rate limits and cost; document in the tool description.
- Versioning: Pin SDK version in package.json; check release notes when upgrading.
Official SDKs and Docs
- JavaScript/TypeScript:
@modelcontextprotocol/sdk(npm). Use Context7 with library name "MCP" for current registration and transport patterns. - Go: Official Go SDK on GitHub (
modelcontextprotocol/go-sdk). - C#: Official C# SDK for .NET.
FAQ
What are 'tools'?
These are actions you teach the AI assistant to perform, like searching for information or running a command.
What are 'resources'?
This is data that the AI assistant can access, such as file contents or API responses.
What's the difference between stdio and HTTP?
stdio is for local connections (on your computer), while HTTP is for internet connections, allowing the assistant to access the server from anywhere.
Details
Original description by the author
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #82
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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