Agent skill

MCP Builder

by dkyazzentwatwa in dkyazzentwatwa/chatgpt-skills

Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation.

Apache-2.0Auto-check passedAgent Workflows

Install MCP Builder

skills CLI
$ npx skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dkyazzentwatwa/chatgpt-skills mcp-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mcp-builder .claude/skills/mcp-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mcp-builder
GitHub stars
116
Token cost
~376 tokens
SKILL.md length
165 words
Files
11 (incl. scripts, references)
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation.

  • Works in 5 steps: Read the target API docs and identify… → Design a small tool surface with… → Implement shared infrastructure first:… → …
  • Refactoring MCP integrations
  • SKILL.md covers Workflow, Principles, Resources and Deliverables
  • Runs Python scripts from its folder

What it does

MCP Builder is an agent skill from dkyazzentwatwa/chatgpt-skills. Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/evaluation.md` and `references/mcp_best_practices.md`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: My comprehensive, tested + audited, library of skills to use for ChatGPT. The licence is Apache-2.0.

When your agent uses it

  • Refactoring MCP integrations
  • Tasks that involve MCP servers

Example prompts

  • “/mcp-builder”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read the target API docs and identify the workflows an agent must complete end to end.
  2. Design a small tool surface with high-signal outputs, clear identifiers, and actionable errors.
  3. Implement shared infrastructure first: auth, request helpers, pagination, truncation, and formatting.
  4. Add tool schemas and docstrings that make correct usage obvious.
  5. Evaluate the server with realistic tasks before expanding scope.

What it can do on your machine

Read from SKILL.md and the folder at commit 103b430. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

MCP Builder loads about 376 tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~376
With references · SKILL.md plus every file in references/, read only if the agent opens them
~26k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from dkyazzentwatwa/chatgpt-skills at commit 103b430, republished under its Apache-2.0 licence (© dkyazzentwatwa). 165 words, ~376 tokens.

Download SKILL.mdSave it as .claude/skills/mcp-builder/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
mcp-builder
description
Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.

MCP Builder

Build MCP servers around user workflows, not raw API endpoints.

Workflow

  1. Read the target API docs and identify the workflows an agent must complete end to end.
  2. Design a small tool surface with high-signal outputs, clear identifiers, and actionable errors.
  3. Implement shared infrastructure first: auth, request helpers, pagination, truncation, and formatting.
  4. Add tool schemas and docstrings that make correct usage obvious.
  5. Evaluate the server with realistic tasks before expanding scope.

Principles

  • Prefer workflow tools over thin endpoint wrappers.
  • Return concise, high-signal responses by default.
  • Use human-readable identifiers whenever possible.
  • Make error messages corrective: tell the agent what to try next.
  • Design for limited context and large datasets.

Resources

  • references/mcp_best_practices.md for design principles that apply to every server.
  • references/python_mcp_server.md for Python implementation patterns.
  • references/node_mcp_server.md for TypeScript implementation patterns.
  • scripts/connections.py and scripts/evaluation.py as repo-local helpers.

Deliverables

  • A concrete tool inventory tied to user workflows.
  • Strict input/output schemas.
  • Evaluation prompts or scripts that confirm the server is usable by an agent.

© dkyazzentwatwa, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (scripts, references) in mcp-builder of dkyazzentwatwa/chatgpt-skills.

  • SKILL.md
  • LICENSE.txt
  • agents/openai.yaml
  • references/evaluation.md
  • references/mcp_best_practices.md
  • references/node_mcp_server.md
  • references/python_mcp_server.md
  • scripts/connections.py
  • scripts/evaluation.py
  • scripts/example_evaluation.xml
  • scripts/requirements.txt

Open the folder on GitHubat commit 103b430

Compare with similar skills

MCP Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

MCP Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
MCP Builder this skilldkyazzentwatwa/chatgpt-skills116—~376Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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    29k GitHub stars~3.7k tokensUpdated today
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Categories

Questions about MCP Builder

What does MCP Builder do?

Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. MCP Builder is an agent skill from dkyazzentwatwa/chatgpt-skills. Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation.

When should I use MCP Builder?

MCP Builder fits situations like: refactoring MCP integrations; tasks that involve MCP servers.

How do I install MCP Builder in Claude Code?

Run `npx skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder -a claude-code`. Or copy the skill folder (mcp-builder in dkyazzentwatwa/chatgpt-skills) into .claude/skills/mcp-builder in your project. Claude Code loads it when a task matches its description.

How do I install MCP Builder in Codex?

Run `npx skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder -a codex`. Or copy the skill folder (mcp-builder in dkyazzentwatwa/chatgpt-skills) into .agents/skills/mcp-builder in your project. Codex loads it when a task matches its description.

Can I use MCP Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dkyazzentwatwa/chatgpt-skills --skill mcp-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mcp-builder, .gemini/skills/mcp-builder, .github/skills/mcp-builder and .opencode/skills/mcp-builder in your project.

What does MCP Builder need to run?

Going by SKILL.md and its folder, MCP Builder needs Python for the scripts in its folder. Our summary lists: Python 3.

Does MCP Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is MCP Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does MCP Builder use?

MCP Builder is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does MCP Builder use?

About 376 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 26k tokens, read only when the agent opens those files.

What are the alternatives to MCP Builder?

Skills that share tags, products or a category with MCP Builder: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains MCP Builder?

dkyazzentwatwa (a GitHub user) maintains it in dkyazzentwatwa/chatgpt-skills, which has 116 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on April 8, 2026.

Source: dkyazzentwatwa/chatgpt-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.