Contexo
About
AI Agent Context Versioning and Synchronization
Details
- Author
- sugihAF
- Downloads
- 280
- Categories
- Knowledge Base, AI
Jump to
- Persistent, versioned project memory stored in git
- Section‑aware diffs and full history
- Drift detection to flag outdated context
- Agent‑assisted merges for collaborative updates
- Structured capture of the why behind decisions
- Cross‑agent compatibility via the MCP protocol
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
ContexoCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Contexo is available as an MIT‑licensed Go CLI and server that you can self‑host, plus an optional hosted version. Install the CLI and run the server to start capturing and sharing project context with your AI coding agents. The README does not provide specific installation or configuration commands.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"contexo": {
"contexo": {
"command": "ctx",
"args": [
"mcp"
]
}
}
}
}
McpServers
{
"contexo": {
"command": "ctx",
"args": [
"mcp"
]
}
}
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