fetch vs mcp-pinecone

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

	fetch by modelcontextprotocol	mcp-pinecone by sirmews
Stars	★ 85,748	★ 148
30d uses	—	—
Score	76	42
Official	✓	—
Categories	Web ScrapingAI / LLM ToolsProductivity	AI / LLM ToolsKnowledge GraphDatabase
Language	TypeScript	Python
Last commit	this month	16 mo ago

fetch · Summary

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

mcp-pinecone · Summary

MCP server enabling Claude Desktop to read/write Pinecone vector databases with semantic search and document processing.

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-pinecone · Use cases

Retrieval-Augmented Generation (RAG) by searching vector databases for relevant context
Document analysis and knowledge extraction from large document collections
Building AI applications with persistent memory using Pinecone as the vector storage

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"]
    }
  }
}

mcp-pinecone · Install

Installation

Installing via Smithery

npx -y @smithery/cli install mcp-pinecone --client claude

Manual Installation

Install the server locally using [uv](https://docs.astral.sh/uv/getting-started/installation/):

uvx install mcp-pinecone

uv pip install mcp-pinecone

Claude Desktop Configuration

Add to your Claude Desktop config file:

*MacOS*: ~/Library/Application\ Support/Claude/claude_desktop_config.json *Windows*: %APPDATA%/Claude/claude_desktop_config.json

"mcpServers": {
  "mcp-pinecone": {
    "command": "uv",
    "args": [
      "--directory",
      "{project_dir}",
      "run",
      "mcp-pinecone"
    ]
  }
}

For published servers:

"mcpServers": {
  "mcp-pinecone": {
    "command": "uvx",
    "args": [
      "--index-name",
      "{your-index-name}",
      "--api-key",
      "{your-secret-api-key}",
      "mcp-pinecone"
    ]
  }
}

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