Agent skill

Archestra MCP Catalog Entry

by archestra-ai in archestra-ai/archestra

A skill your agent uses when adding a new MCP server to the public MCP catalog (mcp-catalog/data) or preparing/reviewing a catalog-entry PR.

Custom licenceAuto-check passedAgent Workflows

Install Archestra MCP Catalog Entry

skills CLI
$ npx skills add archestra-ai/archestra --skill archestra-mcp-catalog-entry -a claude-code

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

GitHub CLI
$ gh skill install archestra-ai/archestra archestra-mcp-catalog-entry --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/archestra-ai/archestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/archestra-mcp-catalog-entry .claude/skills/archestra-mcp-catalog-entry && 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
archestra-mcp-catalog-entry
GitHub stars
4.4k
Token cost
~1.5k tokens
SKILL.md length
440 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when adding a new MCP server to the public MCP catalog (mcp-catalog/data) or preparing/reviewing a catalog-entry PR.

  • Works in 5 steps: Derive the entry name from the URL (do… → Live-probe remote servers (machine-fill,… → Write the manifest → …
  • Adding a new MCP server to the public MCP catalog (mcp-catalog/data)
  • SKILL.md covers 1. Derive the entry name from…, 2. Live-probe remote servers…, 3. Write the manifest and 4. Validate before the PR, plus 1 more section
  • Calls curl, python3 and npx; reaches github.com and mcp.linear.app

What it does

Archestra MCP Catalog Entry is an agent skill from archestra-ai/archestra. Use when adding a new MCP server to the public MCP catalog (mcp-catalog/data) or preparing/reviewing a catalog-entry PR. Derives the entry name from the server URL, live-probes remote servers to fill in tools/transport/auth, fetches and encodes the icon, and validates the manifest against the catalog schema before opening the PR.

Its SKILL.md is about 1.5k 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. The repository describes itself as: Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator.

When your agent uses it

  • Adding a new MCP server to the public MCP catalog (mcp-catalog/data)
  • Preparing/reviewing a catalog-entry PR

Example prompts

  • “/archestra-mcp-catalog-entry”

Requirements

  • Python 3
  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Derive the entry name from the URL (do not guess)
  2. Live-probe remote servers (machine-fill, don't transcribe docs)
  3. Write the manifest
  4. Validate before the PR
  5. Open the PR

What it can do on your machine

Read from SKILL.md and the folder at commit df802e7. 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

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx
    • pnpm

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • mcp.linear.app
    • agenttools.wolfram.com
    • api.iconify.design
    • vendor.com

    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

Archestra MCP Catalog Entry loads about 1.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 440 words (~1,519 tokens).

“The catalog is two files under mcp-catalog/data/ (see mcp-catalog/README.md):”

— opening of SKILL.md by archestra-ai, Custom licence
name
archestra-mcp-catalog-entry

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/archestra-mcp-catalog-entry of archestra-ai/archestra.

Open the folder on GitHubat commit df802e7

Compare with similar skills

Archestra MCP Catalog Entry 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.

Archestra MCP Catalog Entry compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Archestra MCP Catalog Entry this skillarchestra-ai/archestra4.4k—~1.5kAutomated safety check: PassCustom licence
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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Categories

Questions about Archestra MCP Catalog Entry

What does Archestra MCP Catalog Entry do?

A skill your agent uses when adding a new MCP server to the public MCP catalog (mcp-catalog/data) or preparing/reviewing a catalog-entry PR. Archestra MCP Catalog Entry is an agent skill from archestra-ai/archestra. Use when adding a new MCP server to the public MCP catalog (mcp-catalog/data) or preparing/reviewing a catalog-entry PR.

When should I use Archestra MCP Catalog Entry?

Archestra MCP Catalog Entry fits situations like: adding a new MCP server to the public MCP catalog (mcp-catalog/data); preparing/reviewing a catalog-entry PR.

How do I install Archestra MCP Catalog Entry in Claude Code?

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

How do I install Archestra MCP Catalog Entry in Codex?

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

Can I use Archestra MCP Catalog Entry 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 archestra-ai/archestra --skill archestra-mcp-catalog-entry -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/archestra-mcp-catalog-entry, .gemini/skills/archestra-mcp-catalog-entry, .github/skills/archestra-mcp-catalog-entry and .opencode/skills/archestra-mcp-catalog-entry in your project.

What does Archestra MCP Catalog Entry need to run?

Going by SKILL.md and its folder, Archestra MCP Catalog Entry needs the command-line tools its instructions call (curl, python3, npx and pnpm). Our summary lists: Python 3; Node.js.

Does Archestra MCP Catalog Entry access the network?

SKILL.md names 5 domains. In commands or code: github.com, mcp.linear.app, agenttools.wolfram.com, api.iconify.design and vendor.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Archestra MCP Catalog Entry 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. Review the folder before installing.

What licence does Archestra MCP Catalog Entry use?

Archestra MCP Catalog Entry has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Archestra MCP Catalog Entry use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Archestra MCP Catalog Entry?

Skills that share tags, products or a category with Archestra MCP Catalog Entry: 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 Archestra MCP Catalog Entry?

archestra-ai (a GitHub organization) maintains it in archestra-ai/archestra, which has 4,368 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.

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