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Ksrk Mcp Server Client

@karan-ksrk

Repository

About Ksrk Mcp Server Client

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

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

karan-ksrk

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from Ksrk Mcp Server Client

What are the runtime requirements?

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

What API keys are required?

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

How do I stop the client?

Type quit or exit in the interactive prompt loop.

What MCP tools are available?

The server provides search_web, fetch_url, and about_ksrk tools.

What license is this project under?

The MIT License.

Comments

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