Model Context Protocol

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.

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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

✗You open the dashboard, check the numbers, form a mental summary
✗You paste that summary into Claude or Cursor, hoping you got the key details
✗Your agent reasons from your approximation, not the actual data
✗Repeat every time you want informed AI help

With Chartcastr MCP

✓Chartcastr runs on schedule, ingesting your sources and producing analysis
✓Your AI tool calls get_latest_pulse and gets the full interpreted context
✓Every conversation starts with real, up-to-date business intelligence
✓Agents can act on it automatically — no human in the loop required

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

Your data sources (Shopify, HubSpot, Xero, Sheets…)
↓
Chartcastr — scheduled ingestion + AI analysis
↓
MCP server — structured tool calls
↓
Your AI agent (Claude Code, Cursor, ChatGPT…)
↓
Actions (Slack, Linear, GitHub, email, scripts…)

Works with the tools you already use

One API key. Any MCP-compatible AI tool.

Claude Code
Claude (Desktop)
Cursor
ChatGPT
Codex
Setup guide for every tool →
Any MCP-compatible toolOne API keyAvailable on all paid plans

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.

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