# mcp-client-typescript

> mcp-client-typescript — anasyakubu-mcp-client-typescript. Use this tool when you need to search and retrieve up-to-date documentation snippets from popular AI/ML libraries, solving problems of outdated or hard-to-find information. It takes in search queries as input and outputs relevant documentation snippets, leveraging the Serper API for restricted Google searches. Ideal for use cases where accurate and current documentation is crucial, such as in machine learning model development or troubleshooting.

Canonical page: https://skillsregistry.net/skills/anasyakubu-mcp-client-typescript  
JSON: https://api.skillsregistry.net/v1/skills/anasyakubu-mcp-client-typescript

## Description

The MCP Docs Server is a Node.js implementation of a Model Context Protocol (MCP) server that provides a powerful tool to search and retrieve up-to-date documentation snippets from popular AI/ML libraries. It leverages the Serper API to perform Google searches restricted to specific documentation domains, extracts meaningful content using web

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/anasyakubu/mcp-client-typescript)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "anasyakubu-mcp-client-typescript"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anasyakubu-mcp-client-typescript` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anasyakubu-mcp-client-typescript/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt