HawkeyeAIBridge

HawkeyeAIBridge

MCP server for fast local code & content search powered by Hawkeye. Enables AI assistants to search indexed codebases & assets with natural language queries.

Category
Visit Server

README

Hawkeye AI Bridge MCP Server

Use Hawkeye from VS Code Agent Chat and other MCP-compatible AI coding assistants.

Hawkeye AI Bridge exposes Hawkeye's fast local search capabilities and overview through the Model Context Protocol (MCP), making it possible for AI coding assistants to search large codebases, assets, sounds files, models, text files, localization files, and project content through Hawkeye.

Hawkeye runs locally/on-premises. Your code is not uploaded by Hawkeye, and Hawkeye itself does not use AI for indexing or searching.

This repository contains setup instructions, configuration examples, and MCP metadata only. Hawkeye and Hawkeye AI Bridge are proprietary software owned by Zaragsoft.

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.

Why use Hawkeye AI Bridge with VS Code?

Hawkeye helps developers quickly search and understand large projects. With MCP support, VS Code Agent Chat and other MCP-compatible tools can ask Hawkeye for fast local search results saving tokens on each call using it.

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.
  • Better overview.
  • Token savings listed below.

<img width="1371" height="841" alt="image" src="https://github.com/user-attachments/assets/2ce83c09-1302-4e07-b226-d23d14b676ee" />

Installation

  1. Download and install Hawkeye from: https://www.zaragsoft.se/downloads

  2. Download and install Hawkeye AI Bridge from: https://www.zaragsoft.se/aibridge

  3. Open VS Code.

  4. Add the MCP server configuration.

  5. Open Copilot Chat in Agent Mode.

  6. Use the Hawkeye MCP tools from Agent Chat.

VS Code MCP configuration

Windows example

{
  "servers": {
    "hawkeye": {
      "type": "stdio",
      "command": "C:\\Program Files\\Hawkeye\\HawkeyeAIBridge.exe",
      "args": []
    }
  }
}

Adjust the path if Hawkeye AI Bridge is installed somewhere else.

Install the Hawkeye skill

Copy hawkeye-search.skill to one of these locations:

Global (all VS Code projects): ~/.claude/skills/

Or workspace-specific: .claude/skills/

Example prompts

Ask your AI coding assistant:

  • Use Hawkeye to find all references to this class.
  • Search the workspace for where this asset name is used.
  • Find likely files related to the inventory system.
  • Search for this localization key across the project.
  • Find where this Blueprint or Unreal asset is referenced.
  • Show me files related to feature loadout before editing code.
  • Use Hawkeye to find code and content references before changing this file.

Privacy and security

  • Hawkeye runs locally/on-premises.
  • Hawkeye does not upload your source code.
  • Hawkeye itself does not use AI for indexing or searching.
  • The MCP server only exposes Hawkeye functionality to tools you configure locally.
  • You control which MCP clients can connect to it.
  • Always review AI-generated code changes before applying them.

Requirements

  • Hawkeye installed.
  • Hawkeye AI Bridge installed.
  • VS Code with Agent Mode / MCP support.
  • A local project indexed by Hawkeye. Video on how to setup here: https://www.youtube.com/watch?v=l1J-G36QSwI

Supported platforms

  • Windows: supported.

Repository contents

hawkeye-aibridge-mcp/
  README.md
  LICENSE.md
  SECURITY.md
  CHANGELOG.md

  .mcp/
    server.json

  examples/
    vscode-mcp-windows.json
    vscode-mcp-linux.json
    claude-desktop-example.json

  docs/
    install-vscode.md
    install-claude.md
    troubleshooting.md
    tools.md
    privacy-and-security.md
    faq.md

  images/
    .gitkeep

Links

  • Hawkeye AI Bridge: https://www.zaragsoft.se/aibridge
  • Hawkeye: https://www.zaragsoft.se/
  • Support: info@zaragsoft.se

Ownership

Hawkeye and Hawkeye AI Bridge are proprietary software owned by Zaragsoft.

This repository only contains public documentation, configuration examples, and MCP metadata for installation and discovery.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured