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Codexa

제작자: mirnoorata버전 0.20.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.mirnoorata/codexa

설치

개요

제작자가 쓴 설명(영어 원문)

Codex-native codebase intelligence context compiler and query-only MCP server.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 개발자 도구

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: CODEXA_MCP_STRUCTURED_BUDGET_BYTES

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "codexa": {
      "command": "npx",
      "args": [
        "-y",
        "@mirnoorata/codexa"
      ],
      "env": {
        "CODEXA_MCP_STRUCTURED_BUDGET_BYTES": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add codexa --env CODEXA_MCP_STRUCTURED_BUDGET_BYTES=your-value -- npx -y @mirnoorata/codexa

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "codexa": {
      "command": "npx",
      "args": [
        "-y",
        "@mirnoorata/codexa"
      ],
      "env": {
        "CODEXA_MCP_STRUCTURED_BUDGET_BYTES": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "codexa": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mirnoorata/codexa"
      ],
      "env": {
        "CODEXA_MCP_STRUCTURED_BUDGET_BYTES": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • CODEXA_MCP_STRUCTURED_BUDGET_BYTES env
    Optional structured-result byte budget override for hosts with small MCP result limits.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 mirnoorata 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 1390개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 1390개 중 60%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 1390개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Codexa, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.20.1)은 36일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

제작자: github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

컴퓨터 또는 클라우드★ 34,245MIT3일 전 업데이트
설치

Desktop Commander

제작자: wonderwhy-er

MCP server for terminal commands, file operations, and process management

내 컴퓨터에서 실행★ 10,225MIT15일 전 업데이트
설치

Cloudflare MCP

제작자: cloudflare

Cloudflare MCP servers

클라우드에서 실행★ 4,446Apache-2.014개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Codexa

Understand the code. See what a change could affect. Check the evidence.

Codexa helps developers and AI coding assistants work on a repository with more context and fewer guesses. It builds a local map of your code, connects files to their dependencies and tests, and produces readable reports about proposed and completed changes.

Think of it as a map and a change checklist for your project. The person—or coding assistant—still drives. Codexa points out the bridge you might want to check before taking the truck across it.

Use it from a terminal, with Codex, Claude Code, or another compatible coding assistant, or in GitHub Actions to help review pull requests. The core needs no API key, hosted account, or database. Codexa is free and MIT-licensed; your AI assistant and any optional hosted services have their own requirements and costs.

Get started · Connect an assistant · Everyday use · GitHub reviews · Troubleshooting · Full reference

Maintainer expectations: Codexa is a focused project maintained by one

person in spare time. Expect replies in days to weeks. Please discuss larger

changes before opening a PR; see Contributing.

What does it actually do?

Your questionWhat Codexa gives you
“Where does this behavior live?”Relevant files, functions, and exact text matches, with related code when useful.
“What might break if we change this?”A map of connected code and tests that may be affected.
“What should we test?”Suggested checks tied to the changed files and known relationships.
“Did the work stay within the plan?”A comparison between a saved plan and the actual edits, including unexpected changes.
“What evidence supports this handoff?”A proof card: a summary of the plan, verification evidence, and remaining gaps.
“What is this pull request changing?”A change receipt: a report covering committed changes, possible impact, and review guidance.

For example, changing a login timeout can affect more than one number. Codexa can help locate the setting, identify code that uses it, suggest related tests, and flag edits outside the agreed scope. Its findings depend on what it can read and connect in your repository; it cannot predict every runtime behavior.

Codexa supplies context and checks. Your editor or assistant makes the edits, and your project's tests establish whether the behavior works. A green-looking report is useful evidence, not a force field.

Quick start

You need Node.js 22 or newer, npm (included with Node.js), Git, and a local Git repository—the project folder you want to inspect. You do not need to clone Codexa itself or install an AI assistant to use the terminal commands.

1. Install

Run these commands in a terminal:

node --version

git --version npm install -g @mirnoorata/codexa codexa --version

2. Try it on your project

Replace /path/to/project with your repository's actual folder path. Quote the path if it contains spaces. In the examples below, . means “this folder.”

cd /path/to/project

codexa index . codexa repo-map .

index reads the repository and creates the local map. repo-map shows the ranked files and modules. This terminal-only path needs no assistant setup.

Ask a question relevant to your project:

codexa search . --query "login timeout"

This is an example query, not a built-in demo: results depend on your code. For ongoing use, follow the generated-files guidance and choose your assistant setup below.

No global install? Prefix commands with npx -y @mirnoorata/codexa, for example npx -y @mirnoorata/codexa index /path/to/project. npm may download the package; the default indexing itself runs locally.

Connect your coding assistant

Codexa uses MCP (Model Context Protocol), the connection that lets an AI assistant ask external tools for information. The assistant runs the model; Codexa provides repository context. Install and sign in to your chosen assistant separately.

Codex

From your project folder:

codexa init . --agents-md

codexa session-start .

This creates the index, adds the Codexa server to .codex/config.toml, installs Codex startup/edit hooks, and adds a small managed workflow block to AGENTS.md. Omit --agents-md if you want to manage your own agent instructions. If a Codexa plugin already supplies your MCP connection, avoid registering a second server for the same repository.

Open or reload that same project in Codex and trust it when prompted. Project-scoped MCP configuration is loaded only for trusted projects. In Codex CLI, /mcp shows active connections; see the official MCP setup guide.

A successful session-start check confirms observable setup and index state; it cannot prove that an already-running assistant has loaded the server.

Windows: use codexa init . --agents-md --no-hooks for native Windows MCP-only setup. The generated shell hooks require a POSIX environment such as WSL. macOS and Linux can use the standard command above.

Claude Code

For the simplest connection:

codexa init . --claude --claude-md --no-hooks

codexa session-start .

This also writes the server entry to .mcp.json and workflow guidance to CLAUDE.md. Restart Claude Code in that repository and approve the project MCP server if prompted. --no-hooks disables Codexa's Codex hooks; this setup gives Claude tools and instructions, without Claude hooks or slash commands.

Want automatic startup guidance, a review hook, and commands such as /codexa-plan and /codexa-review? Use the bundled Claude Code plugin. Choose either the plugin or the .mcp.json connection above to avoid duplicate servers.

Other MCP clients

Configure a local command server in your client's MCP settings:

{

"mcpServers": { "codexa": { "command": "codexa", "args": ["serve", "/path/to/project", "--auto-refresh"] } } }

Replace the path and adapt the outer configuration format to your client. The client must be able to find codexa and access the repository. It launches the server; serve is not an interactive chat command.

Fresh installs expose three tools: search, change_plan, and capabilities. That small menu is intentional: capabilities provides access to the remaining operations. Use --tools full with init or serve if your client needs every operation listed directly.

The default connection uses a local process. Optional HTTP transport binds only to the local machine; Codexa does not ship a public remote server.

The everyday workflow

Use Codexa when it resolves uncertainty. A small fix in a known file may need only direct inspection and the project's normal tests. No ceremony is required for changing a comma. A change spanning several files benefits more from planning and review.

For a coding assistant, a useful request is:

Find where login timeouts are handled. Use Codexa if the target or impact is

unclear. Before a substantial edit, save a change plan. Make the change, run

the relevant checks, and review the result against the plan. Tell me what

remains unverified.

You can also run that workflow yourself. This example assumes your repository has src/auth.ts; substitute a real file and task:

codexa change-plan . --task "Adjust the login timeout" --file src/auth.ts --task-id login-timeout --save-snapshot

Read the plan, make the edits, and run the checks appropriate to your project. Then review the work before committing, while the edits are still visible as local changes:

codexa post-edit-review . --task-id login-timeout

Report checks you actually ran with --ran-command. For example, only if `npm test` is a real check in your project and you ran it:

codexa post-edit-review . --task-id login-timeout --ran-command "npm test"

That flag records a claim; it does not execute the command. Codexa checks whether the reported command could cover the relevant work. A command that hides failures, such as npm test || true, does not earn credit. Codexa cannot detect a completely fabricated report.

For a formal handoff, codexa prove . --task-id login-timeout summarizes the saved plan, available evidence, and unresolved gaps. Supply actual command reports or selected verification artifacts when the handoff needs them.

Startup and edit hooks reduce manual steps, but their reviews do not replace one final review with the actual test evidence. Detailed workflow, invariants, and repeat-attempt controls are in the reference.

A few useful commands

Run these from the project root, using your own file names and questions:

CommandPurpose
codexa search . --query "password reset"Find a starting point.
codexa explain . --file src/auth.tsInspect a file and its relationships.
codexa impact . --file src/auth.tsSee what a change could affect.
codexa diff-impact .Inspect the impact of uncommitted changes.
codexa test-plan . --diffGet test suggestions for current edits.
codexa status .Check freshness and parser errors without refreshing.
codexa watch .Keep the index updated during a session; stop with Ctrl+C.
codexa doctor .Diagnose local setup problems.

Most context commands refresh an outdated index automatically. Use codexa --help, codexa --help, or the command reference for more options.

Review pull requests

Codexa can generate a report for a committed branch without an AI assistant. From a clean checkout of that branch, with origin/main available locally:

git fetch origin

codexa review . --base origin/main --head HEAD codexa review . --base origin/main --head HEAD --format json

Replace origin/main if your repository uses a different base branch. Codexa compares changes since the branches' common ancestor. HEAD must match the checked-out commit, and the index must represent that clean checkout.

To add the same review to GitHub Actions:

codexa init . --ci

Review and commit the generated .github/workflows/codexa-review.yml with your normal PR process. It checks out the PR's exact head, uses read-only repository permissions, and writes results to the Actions summary and annotations. It does not post PR comments or run your project's tests. Keep your existing CI.

The default observe mode reports findings without blocking on them. warn adds warning annotations. Explicit fail mode can block on local plan drift, an unavailable requested local plan, or reported command failures. Suggested but unrun tests alone do not fail the review. Invalid inputs and setup errors can fail in any mode.

See committed change receipts for plan comparison, trust limits, and CI options.

What gets written to your repository?

LocationContentsUsual Git treatment
.codex/codebase/Generated maps, relationships, and index.Ignore; regenerate per checkout.
.codex/cache/Saved plans, session notes, review state, and optional caches.Ignore; keep local evidence private.
.codex/static-analysis/Imported or explicitly generated scanner reports.Ignore.

| `

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