Code Factory runs on your own machine — the client starts it, so there is no endpoint to ping. 3 727 installs a week from pypi. Last commit 31 Aug 2026.
Local proof facts for AI coding clients: intent, tests, Graph Ops, and review evidence.
We read the source, 11 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.
setup.py: выполняет код при установке пакета
const child = childProcess.spawn(command, args, {
completed = subprocess.run(
- name: Publish verified plugin update
env:
PUBLISH_TOKEN: ${{ secrets.JETBRAINS_MARKETPLACE_TOKEN }}
"payload": "eyJmaWxlcyI6eyJjYW5hcmllcy9tYW5pZmVzdC5qc29uIjoiYTVhZDgwZDJlNDk0YjRhZjM0YjE5ZjZmMWFiYzQ2MDc2MmI0YWI4MmFiMWFiNzhiODhlZDk2MTUxNTMzZWY1MiIsImdlbmVyYXRvci9hZGFwdGVyLmpzb24iOiIxYzE4OTJmODQ0YWE1YmEwMGJhNDNiYmI2ZjVlYTEyY2ZiYzkzYzJkZGU4YTQyOWY4YzRlOWFmODhiNWU1MThkIiwiZ29sZG…
env = dict(os.environ if environ is None else environ)
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 code-factory -- uvx factoryline-code-factory
{
"mcpServers": {
"code-factory": {
"args": [
"factoryline-code-factory"
],
"command": "uvx"
}
}
}
[mcp_servers.code-factory]
command = "uvx"
args = ["factoryline-code-factory"]
{
"mcpServers": {
"code-factory": {
"args": [
"factoryline-code-factory"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"code-factory": {
"args": [
"factoryline-code-factory"
],
"command": "uvx"
}
}
}
Persistent, evidence-backed code graph for coding agents.
Cross-repository semantic code intelligence for AI coding agents, from a local code graph.
Ranked local code-graph context for AI coding agents. Intercepts reads + greps. Apache-2.0.
Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.
Local code-memory graph for AI coding agents.
A local intelligence layer for AI coding agents. Maps your repos, matches the open-source frontier.
Local-first codebase intelligence MCP server for AI coding agents.
Deep code indexing for AI agents. FTS5 + embeddings + call graphs + git intelligence. Fully local.
Answers built from our own checks of this server.