Databricks MCP Servers vs OpenMemory MCP

A side-by-side comparison of two AI, Data & Knowledge servers — tools, transport, auth, maintenance, and copy-paste config for each.

	Databricks MCP Servers Databricks Labs server exposing Unity Catalog functions, vector search indexes and Genie spaces as agent tools. Unverified stdio (local) OAuth Stale Python	OpenMemory MCP Mem0's local-first memory layer: a Dockerized MCP server plus dashboard that keeps agent memories on your machine. Unverified SSE (remote) API key Python
Category	AI, Data & Knowledge	AI, Data & Knowledge
Language	Python	Python
Transport	stdio (local)	SSE (remote)
Auth	OAuth	API key
GitHub stars	93	60k
Last commit	11 months ago	1 day ago
Verified
Actively maintained
Install	`git clone https://github.com/databrickslabs/mcp && uv --directory ./mcp run unitycatalog-mcp -s your_catalog.your_schema`	`curl -sL https://raw.githubusercontent.com/mem0ai/mem0/main/openmemory/run.sh \| OPENAI_API_KEY=your_api_key bash`
Repo	Open	Open

Verdict

Pick Databricks MCP Servers if you want a local (stdio) server that keeps data on your machine.

Pick OpenMemory MCP if you prefer the more popular, battle-tested option, and you want a hosted/remote server with nothing to install.

Add Databricks MCP Servers

Install / run

git clone https://github.com/databrickslabs/mcp && uv --directory ./mcp run unitycatalog-mcp -s your_catalog.your_schema

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "databricks-mcp-servers": {
      "command": "/path/to/uv/executable/uv",
      "args": [
        "--directory",
        "/path/to/this/repo",
        "run",
        "unitycatalog-mcp",
        "-s",
        "your_catalog.your_schema",
        "-g",
        "genie_space_id_1,genie_space_id_2"
      ]
    }
  }
}

Add OpenMemory MCP

Install / run

curl -sL https://raw.githubusercontent.com/mem0ai/mem0/main/openmemory/run.sh | OPENAI_API_KEY=your_api_key bash

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "openmemory-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "http://localhost:8765/mcp/<client-name>/sse/<user-id>"
      ]
    }
  }
}

Claude Desktop connects to remote servers through the `mcp-remote` proxy (installed on first run via npx). Restart Claude Desktop after saving.

FAQ

Databricks MCP Servers or OpenMemory MCP — which is better?

Pick Databricks MCP Servers if you want a local (stdio) server that keeps data on your machine. Pick OpenMemory MCP if you prefer the more popular, battle-tested option, and you want a hosted/remote server with nothing to install.

Can I use both Databricks MCP Servers and OpenMemory MCP?

Yes — MCP clients let you enable multiple servers at once. Add both configs to your client's mcpServers and use whichever tool fits the task.

Do Databricks MCP Servers and OpenMemory MCP work with Claude, Cursor and Windsurf?

Both do. Copy the per-client config below into Claude Desktop, Cursor, or Windsurf.

View Databricks MCP Servers →View OpenMemory MCP →More comparisons →