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Quality score 61Ccodex-a.dev#agents#design#no-code

CodexA: Semantic Code Search and AI-Assisted Understanding Engine

CodexA is a developer intelligence engine offering semantic code search, AI-assisted code understanding, and workspace tooling. It exposes 13 structured tools to AI coding assistants via CLI, HTTP, and MCP, enabling AI agent integration, multi-turn code investigation, codebase analysis, and AI code review.

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About this tool

CodexA is a developer intelligence engine focused on semantic code search, AI-assisted understanding, and workspace tooling. It targets developers and AI coding assistant users, offering CLI, HTTP, and MCP integration so AI agents can invoke its 13 structured tools.

Core Capabilities

  • Semantic Code Search: Query your codebase in natural language to quickly locate relevant code.
  • AI Agent Tool Integration: Integrate with AI coding assistants like Copilot, Claude, and Cursor via MCP, HTTP bridge, or CLI.
  • Multi-turn Code Investigation: Support multi-turn chat and investigation chains to deeply understand code logic.
  • Codebase Analysis: Provide call graphs, dependency maps, quality metrics, and impact analysis.
  • AI Code Review: Automatically review code changes and identify potential issues.

Usage

CodexA provides 39 CLI commands, 13 AI agent tools, and 22 plugin hooks. You can ask questions with codexa ask, have multi-turn conversations with codexa chat, and perform AI code review with codexa review. MCP mode starts via codexa mcp --path /your/project, exposing all 13 tools as MCP tools.

Configuration

Requirements AI-powered analysis requires configuring an LLM provider, supporting openai, ollama (local), and mock (testing). First-time setup requires running codexa init to initialize the project and codexa doctor to check environment health.

Use cases
  • * llm Configure the LLM provider for AI-powered commands
  • *"])incrementalbooltrueOnly re-index changed files You can also create a
  • 0 Benchmark-backed performance work and native integration
  • 0 Reliability, integration contracts, and critical-path testing
  • 0 Tool schemas: Auto-generated from CodexA's tool definitions Error handling: Typed errors with machine-readable codes Requirements The MCP SDK (mcp) is an optional dependency
  • 1:24842/tools/invoke \ -H "Content-Type: application/json" \ -d '{"tool_name": "semantic_search", "arguments": {"query": "auth"}}' # List tools curl http://127
  • 1:24842/tools/invoke directly
  • 1:24842/tools/list # SSE event stream curl http://127

Features & use cases

* llm Configure the LLM provider for AI-powered commands*"])incrementalbooltrueOnly re-index changed files You can also create a0 Benchmark-backed performance work and native integration0 Reliability, integration contracts, and critical-path testing0 Tool schemas: Auto-generated from CodexA's tool definitions Error handling: Typed errors with machine-readable codes Requirements The MCP SDK (mcp) is an optional dependency1:24842/tools/invoke \ -H "Content-Type: application/json" \ -d '{"tool_name": "semantic_search", "arguments": {"query": "auth"}}' # List tools curl http://1271:24842/tools/invoke directly1:24842/tools/list # SSE event stream curl http://1271:24842/tools/stream MCP (Model Context Protocol) bashcodexa mcp --path /your/project All 13 tools are exposed as MCP tools with proper schemas13 structured tools for AI agents2, "max_tokens": 2048 } } Supported providers: openai, ollama (local), mock (testing)39 CLI commands, 13 AI agent tools, 22 plugin hooks

Quick facts

Public API available

Integrations

GitHub

Resources

Upgrade Guide

Sources

Every profile keeps its sources and latest verification date.
01https://codex-a.dev/

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