MCP
Your company’s context, served to every AI.
Claude, Copilot, ChatGPT, Cursor — smart, but blind to what your company decided last Monday. In Parallel’s MCP server exposes your live organisational context to every agent, scoped to the person asking. One connection. No lock-in.
What it does
Every agent starts from reality, not a blank slate.
Your world model, queryable by any agent
Every decision, plan update, and meeting signal captured by In Parallel is accessible via MCP. Agents get the current state of your business, not last month’s export. No copy-paste, no re-briefing.
Scoped to the person asking
The endpoint answers within the asker’s permissions: your AI only sees what you can see. Context sharing without a security exception.
Platform-agnostic by design
MCP is an open protocol. Your world model is available wherever MCP is supported, today and as your stack changes. Vendors that make interoperability hard get dropped. We don’t make it hard.
How it works
One endpoint. Everything in context.
01 · Connect
Connect
One MCP endpoint per workspace. Add it to Claude, Copilot, ChatGPT, or Cursor the way you’d add any MCP server — minutes, not a project.
02 · Ask
Ask from any tool
"What did we decide about pricing?" works the same in every agent, answered from the same shared context, with sources.
03 · Stay current
Stay current automatically
The context updates as meetings happen and plans move. No exports, no syncing jobs, no context files to maintain.
Works with
Every agent platform that speaks MCP.
connection per workspace
Not one integration per tool per team. The endpoint is the integration.
agent platforms today
Claude, Copilot, ChatGPT, Cursor, Gemini — and whatever your stack adopts next, if it speaks MCP.
custom integrations to build
An open protocol instead of a vendor SDK. Leaving is as easy as arriving — which is why you won’t need to.
Before you ask
The questions every team asks first
- What is MCP?
- Model Context Protocol — the open standard AI tools use to read from external sources. In Parallel publishes your shared organisational context as an MCP server, so the AI tools your team already uses can draw on it directly.
- Is this safe to connect?
- The endpoint enforces the same permissions as the product: every answer is scoped to the person asking, and every claim carries its source. Nothing is exposed beyond what that user could already see in In Parallel.
- Does this lock us into In Parallel?
- The opposite. MCP is an open protocol; your agents keep working the same way whatever else changes in your stack. We win by being the best context, not by being hard to leave.
- What does it cost?
- MCP access is included in the paid tier — €69 per user per month, full product free for 20 days. Building the context costs nothing to start: the free notetaker is the entry point.
Your AI isn’t the bottleneck. Feed it.
The tools are already good. Give them the context they’re missing and every one of them gets better on the same day.
- One endpoint per workspace
- Scoped to the asker
- Open protocol, no lock-in