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mcp-scripting

Write mcpScript JavaScript for discovering, inspecting, and calling MCP tools.

Install / Use

npx skills add Zhou-Shilin/Aether --skill mcp-scripting

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

61/100

Supported Platforms

Universal

Our assessment of mcp-scripting

mcp-scripting scores 61/100 on our quality scale, 4062nd of 4,636 Development & Engineering skills we index.

Its SKILL.md is 2.5 KB long, lightly structured (2 headings) with 1 code example: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
8/20
Description
12/15
Adoption
0/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so mcp-scripting is actively maintained.
  • Our last check on 2026-09-05 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

mcp-scripting compared with similar skills

All 4 of these similar skills score higher than mcp-scripting; compare them before choosing.

SkillScoreStarsUpdatedFormat
mcp-scripting (this skill)by Zhou-Shilin6103d agoSKILL.md
Agent-Reachby Panniantong100105.7k4d agoCLAUDE.md
taste-skillby Leonxlnx100104.7ktodayCLAUDE.md
headroomby headroomlabs-ai10078.2ktodayCLAUDE.md
ai-job-searchby ai-job-search-dev10067.2k1d agoCLAUDE.md

Frequently asked questions

How do I install mcp-scripting?
Run npx skills add Zhou-Shilin/Aether --skill mcp-scripting. The install tabs above show the steps for each supported agent.
Which AI agents does mcp-scripting work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is mcp-scripting safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcp-scripting still maintained?
The repository was last updated 3 days ago, so mcp-scripting is actively maintained.

name: mcp-scripting description: Write mcpScript JavaScript for discovering, inspecting, and calling MCP tools.

MCP scripting

For multi-call MCP work, write ordinary JavaScript with loops, filtering, chaining, fan-out, or other logic between calls. Run that source with mcpScript; it is the primary MCP orchestration surface. For a single MCP search, describe, status check, auth action, or tool call, use mcp instead.

Write the source naturally, then pass it as mcpScript's code argument:

const { items } = await tools.search({ query: "search issues", server: "github" });
const candidate = items[0];
if (!candidate) return { error: "No matching tool" };

const details = await tools.describe({ path: candidate.path });
if (details.error) return details;

const result = await tools.call(details.path, { query: "is:open label:bug" });
if (!result.ok) return result;
emit({ tool: details.path, completed: true });
return result.data;

Workflow

  1. Find candidate tools with await tools.search({ query, server?, limit?, offset? }).
  2. Inspect the exact returned path with await tools.describe({ path }).
  3. Call it with tools.call(path, args).

Calls resolve to { ok: true, data } or { ok: false, error }; handle failed calls instead of expecting them to stop the script. emit(value) adds user-visible output before the final return value. console output is captured too.

tools is a non-enumerable proxy: Object.keys(tools) throws. Always use tools.search for discovery. When a known flat path is a valid identifier, direct calls such as tools.github_search_issues(args) are supported; use bracket syntax for hyphenated names: tools["server_tool-name"](args). search, call, describe, and promise/serialization names (then, catch, finally, toJSON, toString, valueOf) are reserved on the proxy; if a flat path collides with one, call it via tools.call("exact-path", args).

tools.search and tools.describe are asynchronous and must be awaited. The default script timeout is 30 seconds; the worker is terminated at the deadline, including for infinite loops. Every invocation still uses normal lazy connection, authentication, output guarding, and approval gates. Result details contain a concise calls trace with every search, describe, and call operation; each entry includes its query or path, outcome, and duration.

Use plain JavaScript loops and Promise utilities for composition. Fluent helpers such as tools.find(...).one(), tools.parallel(...), and tools.retry(...) are not provided.

Related Skills

View on GitHub
GitHub Stars0
CategoryDevelopment
Updated3d ago
Forks0

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium1 low