mcp-bigquery-server vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
mcp-bigquery-server by ergut | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 139 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 76 |
| Official | — | ✓ |
| Categories | DatabaseAI / LLM ToolsSecurity | Web ScrapingAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 1 mo ago | this month |
mcp-bigquery-server · Summary
A secure MCP server enabling LLMs to query BigQuery datasets with field-level data protection.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
mcp-bigquery-server · Use cases
- Natural language analysis of business data stored in BigQuery
- Healthcare data analysis with HIPAA compliance through field-level restrictions
- Financial reporting with automatic protection of sensitive columns
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-bigquery-server · Install
Installation
- **Install prerequisites**: Node.js 14+, Google Cloud project with BigQuery enabled, and Claude Desktop
- **Authenticate with Google Cloud**:
``bash gcloud auth application-default login ``
- **Configure Claude Desktop** (
claude_desktop_config.json):
``json { "mcpServers": { "bigquery": { "command": "npx", "args": [ "-y", "@ergut/mcp-bigquery-server", "--project-id", "your-project-id" ] } } } ``
For Protected Mode with sensitive data, add --config-file /path/to/config.json to the args.
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-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}