Hawkeye AI Bridge
Let your coding agent run fast local codebase search through Hawkeye instead of brittle grep-only context.
Overview
Hawkeye AI Bridge is an MCP server for the Build phase that provides local codebase search to AI assistants via Hawkeye and the AI Bridge.
What is this MCP server?
- Local codebase search exposed to MCP clients
- Pairs with Hawkeye desktop indexer and Hawkeye AI Bridge
- Distributed as signed mcpb release hawkeye-ai-bridge-1.0.0.mcpb
- stdio MCP transport for Claude-style hosts
- No cloud upload required for search index (local-first)
- Server version 1.0.2; bundled mcpb hawkeye-ai-bridge-1.0.0
- Repository: Hawkeye-Zaragsoft/hawkeye-aibridge-mcp
- Requires Hawkeye + Hawkeye AI Bridge (not standalone)
What problem does it solve?
Coding agents waste tokens and miss symbols when they cannot search your indexed local repo like an IDE.
Who is it for?
Solo devs with Hawkeye already indexing repos who want Claude Code or Cursor to use the same search semantics.
Skip if: Teams wanting cloud team-wide KB, web docs RAG, or setups without installing Hawkeye desktop components.
What do I get? / Deliverables
Once Hawkeye and the bridge are installed, MCP clients can query your codebase locally with Hawkeye-backed search.
- MCP-accessible local codebase search over Hawkeye index
- stdio bridge package hawkeye-ai-bridge 1.0.0 (server schema 1.0.2)
- Privacy-friendly repo context for agent prompts
Recommended MCP Servers
Journey fit
Local code intelligence is added while you build and refactor, when agents need accurate symbol and file discovery on your machine. Hawkeye AI Bridge is dedicated MCP plumbing for developer assistants—not production monitoring or launch SEO.
How it compares
Local indexer MCP bridge, not a hosted documentation RAG server or generic filesystem read tool.
Common Questions / FAQ
Who is Hawkeye AI Bridge MCP for?
It is for developers using Hawkeye who want MCP-connected local codebase search in AI coding assistants.
When should I use Hawkeye AI Bridge MCP?
Use it during active build and refactor when agents need accurate navigation across a large local repository.
How do I add Hawkeye AI Bridge MCP to my agent?
Install Hawkeye and Hawkeye AI Bridge, download the mcpb from hawkeye-aibridge-mcp releases, and register the stdio MCP server in your client config.