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Overview

MCP (Model Context Protocol) allows AI tools to connect directly to your context repository. Once connected, AI agents can retrieve, search, and update context while respecting the permissions and access controls configured in Qontext. Examples include:

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Connecting via MCP

Qontext exposes a hosted MCP server:
Configure this URL in your MCP client and complete the authentication flow. Please refer to the Clients section for client-specific setup instructions.

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Available operations

The MCP server exposes the context repository through a POSIX-like set of operations.

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Read

Browse the file system and read content. References between files are returned inline as file IDs, so a client can traverse the interconnected file system by passing a returned ID straight into qontext_cat. Locate context by content or by meaning.

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Write

Create and maintain context. Writes flow through Qontext’s versioning: every edit is captured in the version history and reconciled into the repository, so concurrent edits are tracked rather than silently overwritten.