Give OpenAI Codex your codebase with NeoHive
The OpenAI Codex CLI supports the Model Context Protocol (MCP), so it can load context from external servers. NeoHive runs locally, indexes your codebase, documentation, and Jira, then serves the relevant slice to Codex, so it reasons about your real code instead of guessing.
Connect Codex to NeoHive
NeoHive installs as a Codex plugin and connects over MCP, so Codex reasons about your real code. Setup takes a couple of minutes. See the Codex setup guide →
What Codex can do once it has context
- Answer with your actual function signatures and internal APIs, not hallucinated ones.
- Respect your naming patterns, error-handling philosophy, and team conventions.
- Stop recommending libraries you removed months ago.
- Reach across your whole codebase, with no context-window limit on what it can draw from.
Why a context layer instead of pasting code
Pasting code into Codex is limited by the context window, has to be redone every time, and sends snippets to external servers. NeoHive indexes your entire codebase locally, serves only the relevant slice automatically, and keeps your source on your infrastructure. Because it speaks MCP, the same NeoHive instance works across every AI tool your team uses, not just Codex.