video-research-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
video-research-mcp by Galbaz1 | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 21 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 76 |
| Official | — | ✓ |
| Categories | MediaAI / LLM ToolsKnowledge Graph | Web ScrapingAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
video-research-mcp · Summary
MCP server providing 51 video analysis and research tools through Gemini 3.1 Pro with Weaviate integration.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
video-research-mcp · Use cases
- Analyze meeting recordings to extract action items and decisions
- Research topics with evidence-tiered findings from multiple sources
- Create explainer videos from research with TTS narration
- Build and query a knowledge graph from research outputs
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
video-research-mcp · Install
npx video-research-mcp@latest
export GEMINI_API_KEY="your-key-here"For Claude Desktop configuration:
{
"mcpServers": {
"video-research": {
"command": "uvx",
"args": ["video-research-mcp"],
"env": { "GEMINI_API_KEY": "${GEMINI_API_KEY}" }
}
}
}Requires Python >= 3.11, uv, Node.js >= 16, and a Google AI API key.
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"]
}
}
}