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AI

Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources through a consistent interface, so a model can securely read data and take actions in other systems.

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  • Also called: MCP

Definition

What is Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources through a consistent interface, so a model can securely read data and take actions in other systems.

MCP standardizes how AI models talk to the outside world. Instead of every application inventing its own way to expose data and actions to an assistant, MCP defines a common protocol so an AI client can connect to any compliant server.

For a work OS, this matters: an assistant can be given governed access to the company's tasks, records, and tools through MCP, then answer questions and take actions across them rather than being limited to a single app.

Atlas exposes a hosted MCP endpoint so AI clients can connect to the workspace securely, with authentication and fail-closed permissions, extending the governed AI assistant beyond Atlas's own surfaces.

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Related reading

  • Atlas AI
  • The Atlas platform
  • The all-in-one work OS
  • Work OS glossary

FAQ

Questions, answered.

What problem does MCP solve?
MCP removes the need for custom, one-off integrations between every AI model and every tool. It provides one standard interface so assistants can connect to many data sources and tools consistently.
Is MCP secure?
MCP itself is a protocol; security depends on the server. A well-built MCP server authenticates clients and enforces permissions so an assistant can only see and do what it is allowed to.

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Put model context protocol (mcp) to work in one platform.

Atlas is the all-in-one work OS - tasks, projects, CRM, contracts, HR, and automation on one shared record, with a governed AI assistant. Start free.

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