MCP Analytics vs Noisefloor — is this number real?
A side-by-side look at the MCP Analytics and Noisefloor — is this number real? MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Analytics for data science tools work as a local process; choose Noisefloor — is this number real? 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 MCP Analytics when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
MCP_ANALYTICS_API_KEY. - You want tools like
create_analysis, build_status, run_analysis.
Choose Noisefloor — is this number real? when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Science Tools | Data Science Tools |
| Quality signal | 60/100 · Good | 40/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | Freemium | Not declared |
| Required env vars | MCP_ANALYTICS_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 7 | 0 |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 18 | Not listed |
| Full listing | View MCP Analytics | View Noisefloor — is this number real? |
Tools & capabilities
MCP Analytics tools 18
create_analysisbuild_statusrun_analysisdiscover_toolsmodify_analysistools_schemadatasets_uploaddatasets_listconnectors_listconnectors_queryreports_viewreports_list- +6 more on the listing page
Noisefloor — is this number real? 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.
MCP Analytics
{
"mcpServers": {
"embeddedlayers-mcp-analytics": {
"command": "npx",
"args": [
"-y",
"@mcp-analytics/mcp-analytics"
],
"env": {
"MCP_ANALYTICS_API_KEY": "YOUR_MCP_ANALYTICS_API_KEY_HERE"
}
}
}
}
Noisefloor — is this number real?
{
"mcpServers": {
"noisefloor-is-this-number-real": {
"command": "uvx",
"args": [
"--from",
"noisefloor==0.4.0",
"noisefloor-mcp"
]
}
}
}
Frequently asked questions
MCP Analytics is categorized under Data Science Tools and uses a local stdio subprocess. Noisefloor — is this number real? belongs to Data Science Tools and uses a local stdio subprocess. Pick MCP Analytics for data science tools work and Noisefloor — is this number real? 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.
MCP Analytics is listed as freemium — a free tier with paid plans. Auth: api key required. Noisefloor — is this number real? has no declared pricing — check the project's own site. 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 embeddedlayers-mcp-analytics and noisefloor-is-this-number-real as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Analytics has a quality signal of 60/100 (Good) with 2 views, 0 installs and 7 GitHub stars. Noisefloor — is this number real? has 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.
