mcp-builder

A guide for building MCP servers. MCP, or Model Context Protocol, is a standard way for AI assistants to use external tools, read data, and reuse prompt templates.

In plain words
What is it for?
It is for creating or extending MCP tools, resources, and prompts, adding stdio or SSE connections, and testing or debugging MCP communication.
Why use it?
It helps developers design the server's interface and handle communication and errors consistently.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jeremydev87/codingbuddy/mcp-builder
Any agent
npx skills add JeremyDev87/codingbuddy --skill mcp-builder
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

Made for: Claude Code, Codex.

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00044 $0.02396
Opus 5 $0.00022 $0.01198
Sonnet 5 $0.00009 $0.00479
Haiku 4.5 $0.00004 $0.00240

Measured 2d ago against content hash 9bf164876146, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (examples/resource-example.ts, examples/tool-example.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/rules/.ai-rules/skills/mcp-builder/SKILL.md · 364 lines

How it starts

The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Builder

Overview

The Model Context Protocol (MCP) is the standard for connecting AI assistants to external tools, data, and prompts. Building a quality MCP server requires understanding the protocol's three capability types and implementing them with proper error handling and transport support.

Core principle: MCP servers are AI interfaces, not REST APIs. Design for machine consumption and LLM context efficiency.

Iron Law:

SCHEMA FIRST. Every Tool, Resource, and Prompt must have complete JSON Schema before implementation.

When to Use

  • Creating a new MCP server from scratch
  • Adding new Tools, Resources, or Prompts to an existing server
  • Implementing new transport modes (stdio ↔ SSE)
  • Testing MCP server capabilities
  • Debugging MCP communication issues

MCP Architecture Overview

MCP Client (Claude, Cursor, etc.)
        ↕  stdio / SSE
MCP Server
  ├── Tools      → Functions the AI can call (side effects allowed)
  ├── Resources  → Data the AI can read (read-only, URI-addressed)
  └── Prompts    → Reusable prompt templates

NestJS MCP Server Structure

apps/mcp-server/src/
├── main.ts              # Transport setup (stdio vs SSE)
├── app.module.ts        # Root module
├── mcp/
│   ├── mcp.module.ts    # MCP module
│   ├── mcp.service.ts   # MCP server registration
│   ├── tools/           # Tool handlers
│   ├── resources/       # Resource handlers
│   └── prompts/         # Prompt handlers
└── rules/
    ├── rules.module.ts
    └── rules.service.ts # Business logic (pure)

Designing MCP Capabilities

Tools (AI can call these)

Tools perform actions and return results. They CAN have side effects.

// Tool Schema (define first)
const searchRulesTool = {
  name: 'search_rules',
  description: 'Search AI coding rules by keyword or topic. Returns matching rules with their content.',
  inputSchema: {
    type: 'object',
    properties: {
      query: {
        type: 'string',
        description: 'Search term to find relevant rules',
        minLength: 1,
        maxLength: 200,
      },
      limit: {
        type: 'number',
        description: 'Maximum results to return (default: 10)',
        minimum: 1,
        maximum: 50,
        default: 10,
      },
    },
    required: ['query'],
  },
};

Read the full file on GitHub · 364 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 364 lines · 44 tokens per session scan A 9bf164876146

Subscribe to this mod's changes

mcp-builder is a skill published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 2,396 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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