Connect-MCP

AI Agent Analytics

io.github.davisvillelabs/ai-agent-analytics · v1.0.0

Seller-side analytics for AI-agent discovery, settled revenue, delivery, and repeat use.

MCPremoteno credentialsCRM & salesE-commerceAnalytics & marketing

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 3 tools · 3 read, 0 write · CRM & sales, E-commerce, Analytics & marketing

Test call get_daily_pulse: needs a key: HTTP 401 (1,225 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://analytics.davisvillelabs.com/mcp

Tools

3 tools listed at last check
  • list_products List the active product in the bearer token's organization. Use this for setup and identity checks; use get_daily_pulse for the customer's current precomputed 24-hour snapshot. The current Founder plan supports one active product. Requires products:read or products:create; invalid or expired authori
  • get_daily_pulse Return the customer's latest precomputed 24-hour Daily Pulse snapshot. Use this for the same bounded once-daily view shown in the customer dashboard. It does not run a historical event scan when called and takes no parameters because the organization comes from the authorization. Requires analytics:
  • scan_agent_commerce_readiness Inspect a fixed set of public machine-facing surfaces at the HTTPS origin derived from url. Use this before recommending or integrating a public agent-facing product; do not use it for an authorized customer's instrumentation state, use get_connection_health, and never treat the result as a security

Badge

Connect-MCP badge for io.github.davisvillelabs/ai-agent-analytics

Markdown for your README
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