Your AI agent, finally informed.
Chartcastr analyses your entire data stack on a schedule. Now your AI tools can read that analysis directly - and act on it automatically.
The gap in every AI setup
AI assistants are powerful but context-blind. They don't know what happened in your business this week. So you become the bridge - copying from dashboards, summarising in chat, hoping you captured the nuances correctly.
Without Chartcastr MCP
With Chartcastr MCP
get_latest_pulse and gets the full interpreted contextOne MCP endpoint. Zero glue code.
Most teams trying to give their agents real context end up building a side project: auth, schemas, polling, history, embeddings, prompt templates. Chartcastr handles all of it. You just point your agent at one URL.
✓OAuth & tokens
No managing API keys, refresh flows, or rotating secrets across every tool.
✓Schema mapping
Every source normalized into the same semantic shape. Your agent doesn't need provider-specific prompts.
✓Polling & freshness
Pulses run on schedule. Your agent always reads the latest interpretation, no stale data.
✓History & memory
Past pulses, thread conversations, and team decisions are queryable. The agent sees what changed and why.
✓Cross-source joins
Shopify revenue + HubSpot pipeline + Xero cash position in one call. No agent-side stitching required.
✓Auth boundaries
Per-workspace scoping. Your agent only sees the data you've connected, not your entire org.
The shortest path: Connect your sources once. Paste the MCP URL into Claude / Cursor / ChatGPT / Codex. Done. Every conversation now has live business context.
Two ways to use it
Context layer
Connect Claude Code, Cursor, or ChatGPT to Chartcastr and your AI assistant automatically knows what's happening in your business. No manual copying. No stale summaries. Every conversation starts from current data.
Better copy. Better code. Better decisions - all because the context is already there.
Action agents
Build agents that subscribe to Chartcastr's analysis and decide what to do next. The agent reads the pulse - already interpreted, already contextualised - and triggers the right action without human review.
Data → insight → action. Closed loop. Continuously.
What an action agent looks like
Chartcastr does the analysis. Your agent reads the output and decides what to do next.
If Chartcastr detects
Conversion rate drops >8% WoW
Agent does
Open a Linear ticket, tag the growth lead
If Chartcastr detects
Revenue tracking 20% above forecast
Agent does
Draft investor update, post to #company
If Chartcastr detects
CAC rising while LTV holds steady
Agent does
Run cohort analysis, schedule a review
If Chartcastr detects
A source stops delivering for 24h
Agent does
Fire an alert and run the diagnostic script
Build any logic you want on top of Chartcastr's analysis. The agent framework is yours - Chartcastr just provides the data layer.
The pipeline
Works with the tools you already use
One API key. Any MCP-compatible AI tool.
Related docs
Setup guides and deeper context for this feature.
Your agents need context. You've got it.
Connect your AI tools to Chartcastr's analysis pipeline in minutes. Start with read-only context - or build fully automated action agents on top.
No card required. Setup in 3 minutes.
