chatcli: Skill for Claude Code

.agent/skills/mcp-builder/SKILL.md

mcp-builder is a skill for Claude Code from diillson/chatcli. It costs 24 tokens per session (772 once invoked), scanned A, a copy of mcp-builder, Apache-2.0.

Guidance for building servers that let AI systems use external tools and data through the Model Context Protocol, a standard connection format.

In plain words
What is it for?
Use it when creating an MCP server with tools, data resources, or reusable prompts over local or network connections.
Why use it?
It helps you choose suitable server structures, connection methods, inputs, and outputs instead of designing each integration from scratch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is diillson/chatcli's own configuration. It tells Claude Code how to work on chatcli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything chatcli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to diillson/chatcli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/diillson/chatcli/main/.agent/skills/mcp-builder/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/diillson/chatcli

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mcp-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/diillson/chatcli/mcp-builder/github.svg)](https://agentmods.dev/skills/diillson/chatcli/mcp-builder)
Your own site
<a href="https://agentmods.dev/skills/diillson/chatcli/mcp-builder"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/mcp-builder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mcp-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/diillson/chatcli/mcp-builder"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/mcp-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00024 $0.00772
Opus 5.5 $0.00010 $0.00309
Sonnet 5.5 $0.00005 $0.00154
Haiku 4.5 $0.00002 $0.00077

Measured 1mo ago against content hash d13eb1291ed7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo ago.

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.

Origin

This is a copy

100% identical to mcp-builder — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agent/skills/mcp-builder/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Builder

Principles for building MCP servers.


1. MCP Overview

What is MCP?

Model Context Protocol - standard for connecting AI systems with external tools and data sources.

Core Concepts

Concept Purpose
Tools Functions AI can call
Resources Data AI can read
Prompts Pre-defined prompt templates

2. Server Architecture

Project Structure

my-mcp-server/
├── src/
│   └── index.ts      # Main entry
├── package.json
└── tsconfig.json

Transport Types

Type Use
Stdio Local, CLI-based
SSE Web-based, streaming
WebSocket Real-time, bidirectional

3. Tool Design Principles

Good Tool Design

Principle Description
Clear name Action-oriented (get_weather, create_user)
Single purpose One thing well
Validated input Schema with types and descriptions
Structured output Predictable response format

Input Schema Design

Field Required?
Type Yes - object
Properties Define each param
Required List mandatory params
Description Human-readable

4. Resource Patterns

Resource Types

Type Use
Static Fixed data (config, docs)
Dynamic Generated on request
Template URI with parameters

URI Patterns

Pattern Example
Fixed docs://readme
Parameterized users://{userId}
Collection files://project/*

5. Error Handling

Error Types

Situation Response
Invalid params Validation error message
Not found Clear "not found"
Server error Generic error, log details

Best Practices

  • Return structured errors
  • Don't expose internal details
  • Log for debugging
  • Provide actionable messages

6. Multimodal Handling

Supported Types

Type Encoding
Text Plain text
Images Base64 + MIME type
Files Base64 + MIME type

Read the full file on GitHub · 177 lines

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. 1mo ago First seen · 177 lines · 24 tokens per session scan A d13eb1291ed7

Subscribe to this mod's changes

mcp-builder is a skill published in the GitHub repository diillson/chatcli (93 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 772 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to mcp-builder, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

agent-state-bar

A design guide for an agent status bar: a short, automatically updated summary of progress, remaining tasks, tool counts, errors, and system state placed near the latest model input.

bojieli/ai-agent-book · 105 tokens

context-engineering

A guide to organizing the instructions and information an AI agent receives at each step. It covers system prompts, tool descriptions, conversation history, on-demand skills, and protections against unsafe outside content.

bojieli/ai-agent-book · 96 tokens

kv-cache-design

A guide to arranging an AI agent's conversation so previously processed text can be reused. A KV cache stores intermediate results for earlier tokens, while a prompt cache reuses a stable beginning across requests.

bojieli/ai-agent-book · 91 tokens

loop-engineering

A guide to building reliable loops for AI agents that plan, act, check their work, and continue until a task is truly complete. It includes independent verification and a proposer-reviewer pattern in which one agent's work is checked using outside evidence.

bojieli/ai-agent-book · 139 tokens

reward-design

A guide to defining the scores that an AI agent receives during trial-and-error training. It covers checks based on rules, human preferences, or another model, and distinguishes rewarding the final result from rewarding the steps taken.

bojieli/ai-agent-book · 131 tokens

pptx

A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.

bojieli/ai-agent-book · 84 tokens