CodeCortex Context Engine runs on your own machine — the client starts it, so there is no endpoint to ping. 2 072 installs a week from pypi. Last commit 7 Sep 2026.
Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
We read the source, 20 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
process = subprocess.run(
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
name: Select benchmark instances
runs-on: ubuntu-latest
outputs:
instance_ids: ${{ steps.select.outputs.instance_ids }}
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add codecortex-context-engine -- uvx codecortex-context-engine
{
"mcpServers": {
"codecortex-context-engine": {
"args": [
"codecortex-context-engine"
],
"command": "uvx"
}
}
}
[mcp_servers.codecortex-context-engine]
command = "uvx"
args = ["codecortex-context-engine"]
{
"mcpServers": {
"codecortex-context-engine": {
"args": [
"codecortex-context-engine"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"codecortex-context-engine": {
"args": [
"codecortex-context-engine"
],
"command": "uvx"
}
}
}
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