ig-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
ig-mcp by jlbadano | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 127 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 76 |
| Official | — | ✓ |
| Categories | MediaCommunicationProductivity | Web ScrapingAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 3 mo ago | this month |
ig-mcp · Summary
Production-ready MCP server enabling AI applications to interact with Instagram Business accounts through the Graph API.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
ig-mcp · Use cases
- Social media managers analyzing engagement metrics and creating content strategies
- Marketing teams automating Instagram content publishing
- Business owners monitoring their Instagram performance through AI assistants
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
ig-mcp · Install
Installation
- Clone the repository:
git clone <repository-url>
cd ig-mcp- Install dependencies:
pip install -r requirements.txt- Set up environment variables:
cp .env.example .env
# Edit .env with your Instagram API credentials- Configure the MCP server:
# Edit config.json with your specific settings- Add to Claude Desktop:
{
"mcpServers": {
"instagram": {
"command": "python",
"args": ["/path/to/ig-mcp/src/instagram_mcp_server.py"],
"env": {
"INSTAGRAM_ACCESS_TOKEN": "your_access_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-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}