← mcpanalytics.ai

INDIVIDUAL MCP TOOL

report_cards

Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

mcpanalytics.ainone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests retrieving external content.

Parent endpoint

mcpanalytics.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.mcpanalytics-ai]
url = "https://api.mcpanalytics.ai/mcp/api-key"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "mcpanalytics-ai": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: mcpanalytics-ai
Remote MCP URL: https://api.mcpanalytics.ai/mcp/api-key

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "mcpanalytics-ai": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "mcpanalytics-ai": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "mcpanalytics-ai",
  "transport": "streamable-http",
  "url": "https://api.mcpanalytics.ai/mcp/api-key"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • account_link — Direct link to the right account page for anything not doable in chat — billing, browser upload, report management.
  • about — Platform documentation and info — how it works, tiers, usage.
  • agent_advisor — AI help desk — which analysis fits your question, interpreting results, fixing errors.
  • datasets_upload — Get a secure upload token for your data file (CSV, Excel, JSON...).
  • datasets_list — List and search your datasets.
  • discover_tools — Find the right analysis for your data or question — semantic search over validated statistical and ML analyses.
  • tools_schema — Get an analysis's parameter schema — ALWAYS call before tools_run.
  • run_analysis — Run an analysis on your data.