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Mcp Analytics

github.com/embeddedlayers/mcp-analytics official repository

An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Mcp Analytics

An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…

Agentery has not yet captured structured capability detail for this provider.

Official Mcp Analytics links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Mcp Analytics good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "mcp_analytics",
  "name": "Mcp Analytics",
  "url": "https://github.com/embeddedlayers/mcp-analytics",
  "logo": "https://github.com/embeddedlayers.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/embeddedlayers/mcp-analytics"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/embeddedlayers/mcp-analytics",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}