Tool-MCP
One tool, one view
A Jira MCP sees Jira. A Notion MCP sees Notion. An Amplitude MCP sees Amplitude. Useful, but your AI still has to stitch five silos together to answer anything real, and each one only knows its own corner.
Product management MCP
The product management MCP server.
One for the whole product, not one per tool.
A product management MCP shouldn't stop at one tool. Most tools ship an MCP that exposes only themselves. AIOProductOS exposes the spine: the customer record with revenue, feedback, work, and code already joined, as 71 tools over one endpoint your AI reads and acts on.
The difference
A tool-MCP sees one silo. A spine-MCP sees the customer.
Spine-MCP
One record, the whole customer
The AIOProductOS MCP sees the joined record: revenue, feedback, work, and code on one account. So "which paying customers asked for the feature I'm building?" is a single call, not a manual join across five tools.
What's callable
71 tools. Read the record, then act on it.
Not a read-only wrapper. The MCP changes the spine, with writes landing in review.
Read
Customer 360
The joined record: revenue, contacts, feedback, and work for one account, in one call.
Roadmap & work
Tasks, releases, objectives, sprints, roadmap drift. Read the plan and its status.
Insights & demand
Feedback ranked by revenue, scored with your framework: what to build and why.
Analytics
Funnels, retention, feature outcomes. Read the numbers behind a decision.
Codebase brain
Repos, modules, dependencies, ownership: the architecture on the same spine.
Revenue
MRR, paying accounts, the money behind a request. Computed, not guessed.
Act
Create & update tasks
Turn a decision into work on the board, assigned and linked to its customer.
Capture insights
Log feedback to the spine, joined to the account and feature it's about.
Review AI artifacts
Draft, version, and review PRDs and reviews against your rubric.
Resolve identity
Merge or split end-users and accounts: the customer graph, callable.
MCP Apps
It doesn't just answer. It renders.
Most MCP servers can only hand your AI text. Ours ships 3 interactive views the client draws inside the conversation, and what you click calls straight back into the same tools. Change a status on the board card and the task moves for real, in your workspace.
Board
Your board grouped by status, ranked by priority. Change a status in the card and it writes back through update_task.
from list_tasks()
writes update_task()
ui://aioproductos/board
Weekly Signal Memo
This week's customer signal clustered into themes, with the evidence count behind each. Turn a theme into a linked task in one click.
from get_weekly_signal_memo()
writes create_task()
ui://aioproductos/memo
Revenue-Weighted Funnel
Conversion by step with the live MRR standing behind each one: the product-to-subscription join that needs one spine to exist at all.
from analyze_funnel()
ui://aioproductos/funnel
Progressive enhancement, not a facade
The text answer always comes first in the result. A client with no app support loses nothing: it reads the same data it always did. The view is a bonus for hosts that can draw it.
No network of their own
Each app inlines every byte it needs and ships an empty network policy. It reaches your data only back through the host, over the same authenticated MCP connection you already approved.
Built on SEP-1865, the open MCP Apps standard, so any host that implements it renders these, and the same 3 ship on every surface we publish: hosted, npm, and the desktop extension.
Works with your AI
Connect from the client you already use.
A hosted remote MCP server over Streamable HTTP with OAuth 2.1. One-click setup for the common clients, and the same endpoint works with any MCP client.
Claude CodeCursorChatGPTWindsurfClineCodex …any MCP client
Connect any tool to AI
Searching "jira MCP" or "amplitude MCP"?
Those expose one tool to your AI. Connect that tool to AIOProductOS with a connector instead, and its data joins the spine. Then every MCP call sees it next to revenue, feedback, and code, over one endpoint. One MCP with the whole record, rather than a dozen tool-MCPs your AI has to reconcile.
FAQ
MCP, answered
What is a product management MCP?
A product management MCP is an MCP server that connects your AI client to your product data and workflows (roadmap, tasks, insights, analytics, and the customer record) so the AI reads and acts on them. AIOProductOS is a product management MCP built on the spine: it exposes revenue, feedback, work, and code already joined into one customer record, 71 tools over a single endpoint rather than one tool's silo.
What is an MCP server?
MCP (Model Context Protocol) is an open standard that lets an AI client such as Claude Code, Cursor, or ChatGPT call external tools and read external data through one connection. An MCP server exposes a set of tools an AI can use; instead of copy-pasting context into a chat, the AI queries the source directly.
Does AIOProductOS have an MCP server?
Yes. A hosted, remote MCP at platform.aioproductos.com/api/mcp with 71 tools, over Streamable HTTP with OAuth 2.1 (dynamic client registration + PKCE). Connect it in a click from Settings → Connect to AI; no local install, no long-lived API key to paste.
How is this different from a Jira MCP or a Notion MCP?
A Jira MCP exposes Jira. A Notion MCP exposes Notion. Each sees one silo, so your AI still has to stitch them together. The AIOProductOS MCP exposes the spine: the customer record with revenue, feedback, work, and code already joined. So a question like 'which paying customers asked for the feature I'm building?' is one call, not five.
Is there a product management MCP?
This is it. The AIOProductOS MCP is built for product teams: it reads the roadmap, insights, tasks, releases, analytics, and the customer 360, and acts on them (create and update tasks, capture insights, review artifacts) from whatever AI client you already use.
Which AI clients can connect?
Any MCP client. We provide one-click setup for the common ones (Claude Code, Cursor, ChatGPT, Windsurf, Cline, and Codex) and the same remote endpoint works with any other client that speaks MCP.
What are MCP Apps?
MCP Apps (SEP-1865) let an MCP server ship interactive views the AI client renders inside the conversation, in a sandboxed iframe. AIOProductOS ships 3: a live board, the weekly signal memo, and a revenue-weighted funnel. What you click calls back into the same MCP tools: change a task's status in the board and it writes through update_task. Clients that don't support apps still get the full text answer, so nothing is lost.
Is it secure?
The MCP is OAuth 2.1 (dynamic client registration + PKCE), scoped to your organization and your role, so an AI client sees exactly what the connected member is allowed to see. Reads are open; state-changing actions land in review, so a human approves before anything ships.
Give your AI the whole customer.
One MCP, 71 tools, 3 interactive views, the joined record. Connect it to the AI client you already use.