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Ksrk MCP Server Client

@karan-ksrk

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

karan-ksrk

Ksrk MCP Server Client について

MCP server to get latest information about me (for now), you can add that mcp server to claude desktop or create custom client which you can see in the file

#ksrk#mcp#server-client

Ksrk MCP Server Client の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "ksrk-mcp-server-client": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Ksrk MCP Server Client のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Ksrk Mcp Server Client?

Ksrk Mcp Server Client is a Python client that connects to an MCP server and uses OpenAI’s GPT-4 model to process user queries via interactive prompts. It provides tools for web searching using the ScrapingDog API, fetching URL content, and searching for “ksrk” on websites.

How to use Ksrk Mcp Server Client?

Clone the repository, create and activate a virtual environment, install dependencies from requirements.txt, and set environment variables SCRAPING_DOG_API_KEY and OPENAI_API_KEY. Run python client.py from the root directory, then enter prompts; type quit or exit to stop.

Key features of Ksrk Mcp Server Client

  • MCPClient class for server connection and tool calls
  • agent_loop processes user queries using GPT‑4
  • search_web searches the web via ScrapingDog API
  • fetch_url retrieves content from a given URL
  • about_ksrk searches for “ksrk” on specified websites

Use cases of Ksrk Mcp Server Client

  • Interactive web research with AI‑assisted querying
  • Searching for the term “ksrk” across multiple websites
  • Extracting and analyzing the content of web pages
  • Prototyping MCP‑based agents that combine LLM and web tools

よくある質問

1

What are the runtime requirements?

Python 3.13 and the dependencies listed in `requirements.txt` (installed via `pip install -r requirements.txt`).

2

What API keys are required?

You must set `SCRAPING_DOG_API_KEY` and `OPENAI_API_KEY` in a `.env` file in the root directory.

3

How do I stop the client?

Type `quit` or `exit` in the interactive prompt loop.

4

What MCP tools are available?

The server provides `search_web`, `fetch_url`, and `about_ksrk` tools.

5

What license is this project under?

The MIT License.

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