Codexpro

CodexPro

Give ChatGPT local coding tools for repos you explicitly allow.

What it is

CodexPro is a local MCP server. It connects your ChatGPT session to your machine and repos you allow.

ChatGPT can read, search, edit, review, verify, import attachments, and write handoff plans. It stays inside those roots.

It is not a hosted SaaS product, model proxy, quota bypass, account pool, or remote shell service.

Install

Needs:

• Node.js 20+
• A ChatGPT account that can create custom MCP plugins
• An HTTPS URL to your machine for ChatGPT web (tunnel or Tailscale Funnel)

npm install -g codexpro
cd /path/to/your/repo
codexpro setup

Connect in ChatGPT

1. Settings -> Security and login → turn Developer mode on (keep CSP enforcement on).
2. Settings -> Plugins → Plugins tab → + beside Search plugins.
3. Create a plugin named CodexPro.
4. Connection: Server URL → paste the URL CodexPro copied.
5. Authentication: No Authentication / None (change this if the form defaults to OAuth).

CodexPro auth is the token already in that URL. Do not share the URL.

Open Plugins and click +	Complete the New Plugin form

Daily use from the same repo:

codexpro start

If plugin creation fails, run codexpro connection-test and check whether ChatGPT requests reach the local server.

What ChatGPT can do

With workspace write mode (the normal agent setup):

• read, search, and inspect the repo with bounded code intelligence
• edit with write, edit, or guarded apply_patch
• import ChatGPT attachments with import_file
• run allowlisted checks with bash
• review diffs and likely impact with show_changes
• write plans under .ai-bridge
• export a context bundle for chats that cannot call tools

Built-in repository intelligence

CodexPro does more than raw file search:

• inspect_workspace maps languages, project types, entrypoints, areas, symbols, and internal relationships.
• search supports targeted symbol, references, and impact intents as well as ordinary text and regex search.
• show_changes identifies affected areas, likely dependents, related tests, risk signals, and relevant verification commands.
• TypeScript/JavaScript, Python, Go, Rust, Swift, Java, C#, C, and C++ declarations are recognized. Other languages retain safe inventory and lexical search.

Analysis is local, bounded, and cached by a workspace fingerprint. It needs no model API key, language-server daemon, embedding service, or vector database. Coverage and inference strength are reported instead of presented as certainty.

Product focus

CodexPro is optimized for a narrow loop: connect ChatGPT to explicitly allowed local repositories, make a reviewable change, verify it, and preserve a handoff record. The project prioritizes:

• explicit workspace boundaries and separate controls for reads, writes, commands, sessions, and handoffs
• useful code navigation without sending a repository to a separate indexing service
• cross-platform installation and release checks on supported Node.js versions
• compact, bounded tool results that remain usable in long ChatGPT sessions

See the roadmap for the next reliability, code-navigation, and workflow improvements.

Multiple projects