AI & Machine Learning
mcpanalytics.ai
Provides account management, documentation, an AI help desk, and dataset upload/list services for an AI analysis platform.
ENDPOINT 1
https://api.mcpanalytics.ai/mcp/api-key
Known tools 13
account_linkDirect link to the right account page for anything not doable in chat — billing, browser upload, report management.
Potential side effectsagent_advisorAI help desk — which analysis fits your question, interpreting results, fixing errors.
Inferred read-onlydatasets_uploadGet a secure upload token for your data file (CSV, Excel, JSON...).
Potential side effectsdiscover_toolsFind the right analysis for your data or question — semantic search over validated statistical and ML analyses.
Inferred read-onlybuild_statusCheck a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.
Inferred read-onlyreports_listYour report library — every analysis delivered, with status and links.
Inferred read-onlyreports_viewGet a shareable browser link for a report — viewable without authentication.
Inferred read-onlyreport_cardsBrowse a delivered report's individual cards (charts, tables, insights) inline in chat.
Inferred read-onlyCONNECT 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.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for mcpanalytics.ai was fetched 2026-08-24T03:04:51.505Z and is being refreshed.
mcpanalytics.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.