Jupyter MCP Server vs Stats Compass
A side-by-side look at the Jupyter MCP Server and Stats Compass MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Jupyter MCP Server for data science tools work as a local process; choose Stats Compass for data science tools as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Jupyter MCP Server when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Choose Stats Compass when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
STATS_COMPASS_PORT, STATS_COMPASS_SERVER_URL, STATS_COMPASS_MAX_UPLOAD_MB.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Science Tools | Data Science Tools |
| Quality signal | 48/100 · Fair | 45/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | STATS_COMPASS_PORTSTATS_COMPASS_SERVER_URLSTATS_COMPASS_MAX_UPLOAD_MB |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1,312 | 17 |
| Directory activity | 3 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Jupyter MCP Server | View Stats Compass |
Tools & capabilities
Jupyter MCP Server tools
No tool names declared yet. Check the project README from the listing page.
Stats Compass tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Jupyter MCP Server
{
"mcpServers": {
"datalayer-jupyter-mcp-server": {
"command": "uvx",
"args": [
"jupyter-mcp-server@latest"
]
}
}
}
Stats Compass
{
"mcpServers": {
"stats-compass": {
"command": "uvx",
"args": [
"stats-compass-mcp"
],
"env": {
"STATS_COMPASS_PORT": "YOUR_STATS_COMPASS_PORT_HERE",
"STATS_COMPASS_SERVER_URL": "YOUR_STATS_COMPASS_SERVER_URL_HERE",
"STATS_COMPASS_MAX_UPLOAD_MB": "YOUR_STATS_COMPASS_MAX_UPLOAD_MB_HERE"
}
}
}
}
Frequently asked questions
Jupyter MCP Server is categorized under Data Science Tools and uses a local stdio subprocess. Stats Compass belongs to Data Science Tools and uses a local stdio subprocess. Pick Jupyter MCP Server for data science tools work and Stats Compass for data science tools.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Jupyter MCP Server is listed as free. Auth: no auth required. Stats Compass is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add datalayer-jupyter-mcp-server and stats-compass as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Jupyter MCP Server has a quality signal of 48/100 (Fair) with 3 views, 0 installs and 1,312 GitHub stars. Stats Compass has 45/100 (Fair) with 5 views, 0 installs and 17 GitHub stars.