MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Convert any CLI tool or Python function into an MCP server using fastmcp.
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC mcporter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mcporter .claude/skills/mcporter && rm -rf skills-srcUse ~/.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/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .claude/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC mcporter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mcporter .agents/skills/mcporter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .agents/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC mcporter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mcporter .cursor/skills/mcporter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .cursor/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AlexAI-MCP/hermes-CCC.git --path skills/mcporter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC mcporter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mcporter .gemini/skills/mcporter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .gemini/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AlexAI-MCP/hermes-CCC mcporterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mcporter .github/skills/mcporter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .github/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AlexAI-MCP/hermes-CCC mcporter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AlexAI-MCP/hermes-CCC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mcporter .opencode/skills/mcporter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mcporter" agent skill from https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/mcporter into .opencode/skills/mcporter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcporter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mcporterConvert any CLI tool or Python function into an MCP server using fastmcp.
Mcporter is an agent skill from AlexAI-MCP/hermes-CCC. Convert any CLI tool or Python function into an MCP server using fastmcp. Zero-config tool injection into Claude Code.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and Python. The repository describes itself as: Hermes Agent ported to Claude Code Channel — 46 native skills, no OAuth, no external process. The licence is MIT.
Read from SKILL.md and the folder at commit 8107e89. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mcporter loads about 1k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 72 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from AlexAI-MCP/hermes-CCC at commit 8107e89, republished under its MIT licence (© AlexAI-MCP). 72 words, ~1,046 tokens.
.claude/skills/mcporter/SKILL.md (or your agent's skills folder).Turn any Python function or CLI tool into an MCP server that Claude Code can call natively.
pip install fastmcp# my_server.py
from fastmcp import FastMCP
mcp = FastMCP("my-tool")
@mcp.tool()
def hello(name: str) -> str:
"""Say hello to someone."""
return f"Hello, {name}!"
if __name__ == "__main__":
mcp.run() # stdio transport (for Claude Code)Register in .mcp.json:
{
"mcpServers": {
"my-tool": {
"command": "python",
"args": ["my_server.py"]
}
}
}Restart Claude Code → hello tool appears natively.
Claude reads your type hints to understand the tool:
@mcp.tool()
def search_files(
query: str,
directory: str = ".",
max_results: int = 10,
case_sensitive: bool = False,
) -> list[str]:
"""Search for files matching query in directory."""
import subprocess
flag = "" if case_sensitive else "-i"
result = subprocess.run(
["grep", "-rl", flag, query, directory],
capture_output=True, text=True
)
return result.stdout.strip().split("\n")[:max_results]import subprocess
from fastmcp import FastMCP
mcp = FastMCP("git-helper")
@mcp.tool()
def git_log(n: int = 10, format: str = "oneline") -> str:
"""Show git commit history."""
result = subprocess.run(
["git", "log", f"-{n}", f"--format={format}"],
capture_output=True, text=True
)
return result.stdout
@mcp.tool()
def git_diff(staged: bool = False) -> str:
"""Show git diff."""
args = ["git", "diff"]
if staged:
args.append("--staged")
result = subprocess.run(args, capture_output=True, text=True)
return result.stdout
if __name__ == "__main__":
mcp.run()import asyncio
import httpx
from fastmcp import FastMCP
mcp = FastMCP("web-fetcher")
@mcp.tool()
async def fetch_url(url: str, timeout: int = 10) -> str:
"""Fetch content from a URL."""
async with httpx.AsyncClient() as client:
response = await client.get(url, timeout=timeout)
return response.text[:5000] # first 5k chars
if __name__ == "__main__":
mcp.run()@mcp.resource("config://settings")
def get_settings() -> str:
"""Return current settings."""
import json, pathlib
settings = pathlib.Path("settings.json").read_text()
return settings
@mcp.resource("file://{path}")
def read_file(path: str) -> str:
"""Read a file by path."""
return pathlib.Path(path).read_text()@mcp.prompt()
def code_review_prompt(code: str, language: str = "python") -> str:
"""Generate a code review prompt."""
return f"Review this {language} code for bugs and improvements:\n\n```{language}\n{code}\n```"if __name__ == "__main__":
mcp.run(transport="http", host="0.0.0.0", port=8080)Then register as:
{"mcpServers": {"my-tool": {"url": "http://localhost:8080/sse"}}}@mcp.tool()
def risky_operation(value: str) -> str:
"""Do something that might fail."""
if not value:
raise ValueError("value cannot be empty") # MCP returns error to Claude
return process(value)fastmcp dev my_server.py
# Opens interactive MCP inspector in browser{
"mcpServers": {
"my-api": {
"command": "python",
"args": ["api_server.py"],
"env": {
"API_KEY": "your-secret-key",
"BASE_URL": "https://api.example.com"
}
}
}
}© AlexAI-MCP, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/mcporter of AlexAI-MCP/hermes-CCC.
Open the folder on GitHubat commit 8107e89
Mcporter 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mcporter this skillAlexAI-MCP/hermes-CCC | 135 | — | ~1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MemPalace Setup and OperationMemPalace/mempalace | 60k | — | ~2.2k | Automated safety check: Pass | MIT | |
| FastmcpTommy-yw/RunbookHermes | 546 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | — | ~823 | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
MemPalace/mempalace
Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.
Tommy-yw/RunbookHermes
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python.
PrefectHQ/fastmcp
Query and invoke tools on MCP servers using fastmcp list and fastmcp call.
archestra-ai/archestra
Migrate an existing agentic PoC/pilot (Claude Code project files, MCP configs, hooks, local tools, openclaw config, or similar hand-rolled setup artifacts) into an Archestra instance.
AlexAI-MCP/hermes-CCC
Review GitHub pull requests with a findings-first engineering mindset.
AlexAI-MCP/hermes-CCC
Run a disciplined GitHub pull request workflow from branch creation through merge.
AlexAI-MCP/hermes-CCC
Manage durable project memory for Claude Code. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Route Claude Code work by complexity, risk, and tool needs. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Create, improve, inventory, and audit Claude Code skills. An agent skill from AlexAI-MCP/hermes-CCC.
AlexAI-MCP/hermes-CCC
Capture Claude Code interaction trajectories in training-friendly formats.
Works with
Categories
Convert any CLI tool or Python function into an MCP server using fastmcp. Mcporter is an agent skill from AlexAI-MCP/hermes-CCC. Convert any CLI tool or Python function into an MCP server using fastmcp.
Mcporter fits situations like: tasks that involve MCP servers.
Run `npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a claude-code`. Or copy the skill folder (skills/mcporter in AlexAI-MCP/hermes-CCC) into .claude/skills/mcporter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a codex`. Or copy the skill folder (skills/mcporter in AlexAI-MCP/hermes-CCC) into .agents/skills/mcporter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AlexAI-MCP/hermes-CCC --skill mcporter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mcporter, .gemini/skills/mcporter, .github/skills/mcporter and .opencode/skills/mcporter in your project.
Going by SKILL.md and its folder, Mcporter needs the command-line tools its instructions call (pip) and credentials named API_KEY. Our summary lists: Python 3; A credential in API_KEY.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. Review the folder before installing.
Mcporter is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Mcporter: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MemPalace Setup and Operation (MemPalace/mempalace, 60k stars) and Fastmcp (Tommy-yw/RunbookHermes, 546 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AlexAI-MCP (a GitHub user) maintains it in AlexAI-MCP/hermes-CCC, which has 135 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on April 8, 2026.
Source: AlexAI-MCP/hermes-CCC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.