mcp-kibela-server vs fetch

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-kibela-server by kiwamizamurai	fetch by modelcontextprotocol
Stars	★ 7	★ 85,748
30d uses	—	—
Score	36	76
Official	—	✓
Categories	ProductivityKnowledge GraphCommunication	Web ScrapingAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	9 mo ago	this month

mcp-kibela-server · Summary

MCP server for Kibela API integration, enabling LLMs to search, retrieve, and manage notes with advanced filtering capabilities.

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

mcp-kibela-server · Use cases

AI assistants retrieving and summarizing recent notes from a team's knowledge base
Automated organization of content through folder and group management
Cross-referencing information between different notes and documents

fetch · Use cases

LLMs reading news articles and blogs
Content analysis of web pages
Retrieving information from public websites
Chunked reading of large web documents

mcp-kibela-server · Install

Installation

Install via npm:

npm install -g @kiwamizamurai/mcp-kibela-server

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "kibela": {
      "command": "npx",
      "args": ["-y", "@kiwamizamurai/mcp-kibela-server"],
      "env": {
        "KIBELA_TEAM": "YOUR_TEAM_NAME",
        "KIBELA_TOKEN": "YOUR_TOKEN"
      }
    }
  }
}

For Docker users:

{
  "mcpServers": {
    "kibela": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "KIBELA_TEAM",
        "-e", "KIBELA_TOKEN",
        "ghcr.io/kiwamizamurai/mcp-kibela-server:latest"
      ],
      "env": {
        "KIBELA_TEAM": "YOUR_TEAM_NAME",
        "KIBELA_TOKEN": "YOUR_TOKEN"
      }
    }
  }
}

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.