mcp-scripting
Write mcpScript JavaScript for discovering, inspecting, and calling MCP tools.
Install / Use
npx skills add Zhou-Shilin/Aether --skill mcp-scriptingInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
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.
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 foundOur 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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-scripting (this skill)by Zhou-Shilin | 61 | 0 | 3d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 105.7k | 4d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 104.7k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.2k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.2k | 1d ago | CLAUDE.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.
Skill content
View source on GitHubname: 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
- Find candidate tools with
await tools.search({ query, server?, limit?, offset? }). - Inspect the exact returned path with
await tools.describe({ path }). - 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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
