Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
Install
Run one of the commands below, then add the client config underneath.
uvx codecortex-context-engineClient configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
{
"mcpServers": {
"codecortex-context-engine": {
"command": "uvx",
"args": [
"codecortex-context-engine"
]
}
}
}About this server
CodeCortex Context Engine is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the CodeCortex Context Engine MCP server?＋
CodeCortex Context Engine is an MCP server by BehnamJalaliCo. Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
How do I install CodeCortex Context Engine?＋
Install it with: uvx codecortex-context-engine. Then add the JSON config to your client's MCP settings and restart the client.
Is CodeCortex Context Engine free to use?＋
The MCP server itself is free to install. The source is public on https://github.com/BehnamJalaliCo/CodeCortex. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support CodeCortex Context Engine?＋
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.