# mcp-client

> mcp-client — kamusis-mcp-client. Use this tool when you need to integrate AI language models with external tools and services, enabling access to additional functionality and data. The mcp-client provides a lightweight interface for accessing these resources, solving problems of limited model capabilities and data isolation. It takes in MCP requests and returns relevant data, ideal for use cases where AI models require external information or processing.

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

## Description

A lightweight TypeScript client for the Model Context Protocol (MCP) that enables AI language models to access external tools and services.

## Trust

- **Trust score (0–1):** 0.95
- **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/kamusis/mcp-client)

## 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": "kamusis-mcp-client"
    }
  }
}
```

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