ace-tool  by eastxiaodong

Intelligent code interaction for AI development

Created 1 month ago
320 stars

Top 85.1% on SourcePulse

GitHubView on GitHub
Project Summary

ace-tool is an MCP server designed to enhance developer productivity by providing codebase indexing and semantic search capabilities, alongside AI prompt augmentation. It targets developers and AI users who leverage IDEs or AI assistants, offering faster access to relevant code context and more effective AI interactions through improved prompts.

How It Works

The tool indexes supported file types within a project into a local .ace-tool directory. It offers two primary functions: search_context for retrieving code snippets based on natural language queries, and enhance_prompt which uses codebase context and conversation history to refine user prompts, presenting them via an interactive web UI for review. Path detection for projects is automated within IDE environments.

Quick Start & Requirements

Installation is via npm install -g ace-tool@latest or direct execution with npx. It requires Node.js, a valid API base-url for the indexing service, and an authentication token. Configuration involves adding ace-tool as an mcpServer in MCP-compatible applications.

Highlighted Details

  • Key features include the enhance_prompt tool with its interactive web UI for iterative prompt refinement.
  • Supports automatic language detection for prompts and automatic mapping of tool names.
  • Integrates with MCP for real-time logging and supports a broad range of programming and configuration file types for indexing.

Maintenance & Community

Information regarding maintainers, community channels, or project roadmap is not detailed in the provided README.

Licensing & Compatibility

ace-tool is released under the MIT license, which is permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The tool relies on an external, configured indexing service. The enhance_prompt feature has an 8-minute timeout with an automatic fallback mechanism. Specific performance metrics or detailed model limitations are not provided in the README.

Health Check
Last Commit

2 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
3
Star History
231 stars in the last 30 days

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