One MCP for every AI tool. Live business data, no integration zoo.
Connect Claude, ChatGPT, Cursor, and any MCP-compatible agent to your real business data through a single Chartcastr endpoint. Stop managing one connector per tool per source.
The MCP sprawl problem
Your week, before and after
- One MCP per tool, per source. Maintenance scales linearly.
- AI tools answer from stale training data, not live business data.
- No shared context — every agent re-learns the same domain.
- Permissions and audit live in N places.
- ✓One MCP endpoint. Every AI tool plugs into the same surface.
- ✓Live, multi-source business data behind a single interface.
- ✓Shared semantic layer so every agent gets the same context.
- ✓Centralized access, audit, and revocation.
Your business data, ready for any agent
Single MCP endpoint
Point Claude, ChatGPT, Cursor, Codex — or any MCP-compatible client — at one Chartcastr URL. No per-tool wiring.
Cross-source queries
Ask the AI a question that spans ads, CRM, billing, and product analytics. Chartcastr resolves the joins; the model sees the answer.
Shared semantic layer
Your metric definitions, planning docs, and team memory are visible to every agent. Same context, every conversation.
Live data, not training data
The AI's answer references this morning's numbers — not last year's snapshot of the internet.
Centralized access control
One place to grant, scope, and revoke access. If an agent goes rogue, you don't chase down twelve integrations.
Works with what you have
Already invested in Claude Desktop, ChatGPT custom GPTs, or a Cursor workflow? Chartcastr is additive — no rip-and-replace.
What this looks like in practice
Claude Desktop
Ask Claude "How did Meta Ads perform last week vs. plan?" — it queries Chartcastr, joins ad spend with CRM-attributed pipeline, and writes the answer.
ChatGPT
A custom GPT for your finance team pulls live cash, burn, and runway from Chartcastr — no copy-paste from dashboards.
Cursor / Codex
Coding agents reference your real product metrics when reasoning about feature work — not what they think your metrics might be.
Frequently asked questions
Which AI tools support this?
Any MCP-compatible client. That includes Claude Desktop, ChatGPT (via custom connectors), Cursor, Codex, and a growing list of agent frameworks. See the docs for the current list.
Do I have to give the AI access to everything?
No. Scope per agent, per source, per metric. You can give Claude read-only access to revenue while leaving HR data out of scope entirely.
What about hallucinations?
Chartcastr returns real data with citations. The AI has to ground its answers in what the tool actually returned. You can see exactly which sources it queried.
Is this different from connecting individual MCPs per source?
Yes. Per-source MCPs leave the AI to join data across tools, which is where most failures happen. Chartcastr does the joins server-side using your semantic layer, then exposes one clean interface to every agent.
Can I still get scheduled pulses if I use the AI workflow?
Yes — the AI workflow is additive. Your scheduled pulses, Slack digests, and reports keep running. The MCP endpoint just lets agents query the same data on demand.
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