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Hawkeye AI Bridge MCP server

by Hawkeye-Zaragsoft·io.github.Hawkeye-Zaragsoft/hawkeye-aibridge·v1.0.2·2 stars
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Local codebase search for AI assistants via MCP. Requires Hawkeye and Hawkeye AI Bridge installed.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
New

2 stars

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Nobody has reviewed Hawkeye AI Bridge yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Hawkeye AI Bridge tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 29 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Hawkeye AI Bridge compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 70% of 3,470 Web search servers
GitHub stars
2
more than 70% of 1,786 Web search servers

Install Hawkeye AI Bridge in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

From the Hawkeye AI Bridge repository's README, as published. We do not edit it. Read it on GitHub

Hawkeye AI Bridge MCP Server

Runway at 10M tokens/month - Days until a hypothetical 10M/month context budget is exhausted, if every one of 50 daily search steps looked like this one. Longer bar, more runway.

  • Broad grep - 1.6 days
  • Compact grep - 7.0 days
  • Hawkeye indexed - 29.0 days

Local codebase search for Claude Code, VS Code, Cursor, and AI agents.

Hawkeye AI Bridge lets AI coding assistants query Hawkeye’s local project index through MCP, so they can find exact references across large codebases, assets, scripts, localization, config files, and project content without uploading the full repository.

Instead of giving an AI agent huge raw grep output, Hawkeye can return compact file/line results that help the agent decide which files are actually worth reading next.

  1. Search large projects locally
  2. Reduce token usage from noisy raw search output
  3. Find exact references across code and non-code project files
  4. Useful for C++, C#, Unreal Engine, Unity, legacy projects, and proprietary codebases
  5. Hawkeye runs locally/on-premises and does not use AI for indexing or searching

Table of Contents

  • What is this?
  • Why use Hawkeye AI Bridge?
  • Prerequisites
  • Client Setup
  • Claude Desktop
  • Claude Code (CLI)
  • VS Code / GitHub Copilot
  • Cursor
  • OpenCode
  • Installing the Skill for Claude
  • Available Tools
  • Token Savings

What is this?

This repository is the official public setup and discovery repository for using Hawkeye AI Bridge as an MCP server.

It does not contain the proprietary Hawkeye AI Bridge source code. Hawkeye and Hawkeye AI Bridge are proprietary software owned by Zaragsoft.

Why use Hawkeye AI Bridge?

Hawkeye helps developers quickly search and understand large projects. With MCP support, AI coding assistants can ask Hawkeye for fast local search results, saving tokens on each call.

Typical use cases:

  • Find all references to a class, function, symbol, asset, localization key, or file.
  • Search large codebases without relying only on editor search.
  • Help AI coding assistants understand more of the project before making changes.
  • Navigate large game/software projects with less reliance on tribal knowledge.
  • Keep search local/on-premises.
  • ~80% token reduction vs. blind file reading.
  • If you do not specify any groups then all groups will be used.

Prerequisites

  • Hawkeye installed — get it from https://www.zaragsoft.se/downloads
  • Hawkeye AI Bridge installed — get it from https://www.zaragsoft.se/aibridge
  • A local project indexed by Hawkeye
  • Video walkthrough: https://www.youtube.com/watch?v=l1J-G36QSwI

Recommended install path: Place the AIBridge folder at C:\Program Files\Hawkeye\AIBridge\. Use this path in all examples below. If you install elsewhere, substitute your actual path throughout.

Client Setup

Claude Desktop

You don't need this zip for Claude Desktop. Download Hawkeye.mcpb from the release page and install it directly:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Hawkeye AI Bridge: common questions

Is Hawkeye AI Bridge MCP server safe?
Mostly: it is graded B (83/100). Read the Hawkeye AI Bridge safety report
Does Hawkeye AI Bridge need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Hawkeye AI Bridge maintained?
The last commit was 67 days ago (2026-08-29). The latest release is v1.0.2.
What can I use instead of Hawkeye AI Bridge?
Servers from other publishers that do the same job: Repomix MCP server, Socraticode MCP server and Docdex MCP server.
How does Hawkeye AI Bridge compare with other Web search MCP servers?
safety score 83/100 (higher than 70% of 3,470 Web search servers); github stars 2 (more than 70% of 1,786 Web search servers). Full comparison.

Alternatives to Hawkeye AI Bridge

Same job from other publishers: the closest match first, then the best rated.

  • Repomix
    Pack local or remote codebases into AI-friendly files that LLMs and coding agents can read or search
    A
  • Socraticode
    MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
    B
  • Docdex
    Fast per-repo documentation indexer and full-text search MCP server for codebases.
    B