Codebase context for GitHub Copilot with NeoHive
GitHub Copilot in VS Code supports the Model Context Protocol (MCP), which lets it pull context from external servers. NeoHive runs locally, indexes your codebase, documentation, and Jira, then serves that context to Copilot, so Copilot suggestions reflect how your team actually builds, not the average of public code.
Connect GitHub Copilot to NeoHive
NeoHive plugs into Copilot in VS Code over MCP, so its suggestions reflect your codebase instead of the public average. Setup takes a couple of minutes. Read the NeoHive setup guide →
What GitHub Copilot 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 GitHub Copilot 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 GitHub Copilot.