KrystalView Analytics
Let your coding agent query KrystalView product analytics—sessions, funnels, campaigns, errors, live visitors, and anomalies—without leaving the IDE.
Overview
KrystalView Analytics is a MCP server for the Grow phase that gives your agent read-only access to KrystalView sessions, funnels, campaigns, errors, live visitors, and anomalies.
What is this MCP server?
- Read-only MCP tools for sessions, funnels, campaigns, errors, live visitors, and anomalies
- Stdio transport via PyPI package krystalview-mcp (v0.1.5)
- Configurable API base URL with KRYSTALVIEW_BASE_URL defaulting to https://krystalview.com/api
- Secret KRYSTALVIEW_API_KEY from console Settings > API Keys
- Safe agent workflows: no write paths described—inspection and reporting only
- Server version 0.1.5; PyPI identifier krystalview-mcp; stdio transport
- Six documented read domains: sessions, funnels, campaigns, errors, live visitors, anomalies
- Required secret env KRYSTALVIEW_API_KEY; optional KRYSTALVIEW_BASE_URL (default https://krystalview.com/api)
What problem does it solve?
You waste time tab-switching to analytics dashboards while your agent guesses at funnel or error context that only exists in KrystalView.
Who is it for?
Indie SaaS founders who already use KrystalView and want their agent to reason over real session, funnel, and error data during Grow-phase work.
Skip if: Teams without a KrystalView account, or builders who need to mutate campaigns or site config from the agent—this server is read-only analytics access only.
What do I get? / Deliverables
Your agent can pull live KrystalView metrics and anomaly context into plans, fixes, and growth decisions with a single API key and stdio MCP setup.
- Agent-callable read-only views of sessions, funnels, campaigns, errors, live visitors, and anomalies
- Repeatable analytics Q&A in the IDE without manual dashboard exports
Recommended MCP Servers
Journey fit
Grow is where solo builders interpret traffic, conversion, and reliability signals to decide what to fix or promote next. Analytics is the canonical shelf for read-only funnel, session, campaign, and error intelligence tied to live product usage.
How it compares
MCP integration to a hosted analytics product, not a standalone agent skill or generic web-scraping browser tool.
Common Questions / FAQ
Who is KrystalView Analytics for?
Solo and indie builders who run KrystalView and want Claude Code, Cursor, or Codex to query sessions, funnels, campaigns, errors, visitors, and anomalies safely via MCP.
When should I use KrystalView Analytics?
Use it during Grow and Operate-adjacent debugging when you need grounded analytics in chat—for prioritizing fixes, validating a launch, or drafting lifecycle updates from real data.
How do I add KrystalView Analytics to my agent?
Install the krystalview-mcp PyPI package (v0.1.5), set KRYSTALVIEW_API_KEY (and optionally KRYSTALVIEW_BASE_URL), register the stdio MCP server in your agent, and restart the session.