memory vs mcp-pinecone

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

	memory by modelcontextprotocol	mcp-pinecone by sirmews
Stars	★ 85,748	★ 148
30d uses	—	—
Score	77	42
Official	✓	—
Categories	Knowledge GraphAI / LLM ToolsProductivity	AI / LLM ToolsKnowledge GraphDatabase
Language	TypeScript	Python
Last commit	this month	16 mo ago

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

mcp-pinecone · Summary

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

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

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

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

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.