Connect AI to your company signal with CEOTXT MCP.
CEOTXT exposes your company signal over the Model Context Protocol. AI clients read structured KPIs, owners, tasks, deviations, and attention items — not scraped emails, chats, and documents.
A structured read of the company, not a scrape of it.
Pointing an AI at every inbox, channel, and document buries it in noise. CEOTXT MCP gives the AI the same structured signal a CEO reads each week: what the numbers are, who owns them, what is late, and what needs attention.
- Outcomes, not artifacts — The AI sees KPIs against targets with status colors — not a thousand messages it has to interpret.
- Ownership it can name — Every KPI and task has an owner — a person, a team, or another AI agent. The AI knows who is responsible.
- History it can compare — Reporting cycles, deviations, and the audit trail are part of the signal, so the AI can say what changed since last cycle.
The signal, structured for a machine to read.
MCP exposes the same company signal CEOTXT compiles for owners and boards — as structured data instead of prose. KPI values and targets, status colors, owners, open actions, late reports, deviation comments, and reporting history. One coherent state of the business, scoped to what the client is permitted to read.
Real questions, answered from the signal.
Once an AI client is connected over MCP, it answers from your company signal instead of guessing from scattered context. Examples:
- How is my company doing this week?
- Which KPIs are red?
- Who missed reporting?
- Which action items are open?
- Which owner has the most reliability issues?
- What should the CEO focus on this week?
- Which AI agent owns this KPI?
- What changed since last cycle?
Read the structured state. Not the raw systems.
MCP access is permissioned and scoped. An AI client reads the company signal CEOTXT has already compiled — it does not get unrestricted access to your inbox, CRM, or internal systems. You decide what is exposed.
- Permissioned — Access is granted per client and can be revoked. The AI reads only what its scope allows.
- Structured, not raw — The interface returns the compiled signal — KPIs, owners, deviations, history — not the underlying source systems.
- Auditable — Because everything flows through the accountability layer, reads sit on the same record as reports and actions.
Frequently asked questions
What is CEOTXT MCP?
It is a Model Context Protocol interface to your company signal. AI clients connect to CEOTXT over MCP and read structured business state — KPIs, owners, tasks, deviations, and reporting history — instead of scraping raw systems.
What can an AI client read over MCP?
The compiled company signal: KPI values and targets, status colors, owners, open actions, late reports, deviation comments, and reporting history — scoped to what the client is permitted to access.
Does MCP give AI access to my internal systems?
No. The AI reads the structured signal CEOTXT has already compiled. It does not get unrestricted access to your inbox, CRM, or other internal tools. Access is permissioned, scoped, and revocable.
Connect AI to your company signal.
Build the signal in CEOTXT, then let your AI clients read it over MCP — structured access to the state of the company, not the noise around it.