Skip to content
TrustedSkillsbeta
Back to all skills

Typescript Mcp

Listed
ovachiever·vlatest·backend

Helps with TypeScript, MCP tools as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add ovachiever/droid-tings --skill typescript-mcp -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

ovachiever

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.openweathermap.org, developers.cloudflare.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    spec.modelcontextprotocol.iodocumentationgithub.comsource hostdevelopers.cloudflare.comundeclaredapi.openweathermap.orgundeclared

    What it found

    • skills/typescript-mcp/scripts/init-mcp-server.sh:203contacts developers.cloudflare.com
      - Cloudflare Workers: https://developers.cloudflare.com/workers/
    • skills/typescript-mcp/templates/tool-server.ts:56contacts api.openweathermap.org
      `https://api.openweathermap.org/data/2.5/weather?q=${encodeURIComponent(city)}&units=${units}&appid=${env.WEATHER_API_KEY}`

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/typescript-mcp/SKILL.md
Scanned
17 files, 5,351 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This TypeScript MCP server enables AI agents to interact with local file systems and execute code directly within a Node.js environment. It provides a secure bridge allowing agents to read, write, and manipulate files while running logic in an isolated sandbox.

When to use it

  • Automating repetitive file organization or data extraction tasks on your local machine.
  • Prototyping backend logic by letting the agent generate and run TypeScript snippets instantly.
  • Integrating AI workflows with existing local project structures without manual code deployment.
  • Debugging scripts by allowing the agent to execute them in a controlled Node.js context.

Key capabilities

  • File System Access: Read and write files within configured directories.
  • Code Execution: Run TypeScript code safely inside a sandboxed environment.
  • Process Management: Handle command-line operations via Node.js execution.
  • Local Integration: Connects AI agents directly to the developer's local development setup.

Example prompts

  • "Create a script that reads all JSON files in my data folder and merges them into a single summary file."
  • "Write a TypeScript function to validate user input against a regex pattern and execute it now."
  • "Run this Node.js snippet to check if the current directory contains any .env files."

Tips & gotchas

Ensure your local environment has Node.js installed, as the skill relies on executing code within that runtime. Be cautious when granting file system permissions; restrict access to specific directories to prevent unintended modifications to critical system files.