Codna — repository intelligence

Name: Codna — repository intelligence
Author: thyn-ai

作者：thyn-ai版本 0.2.106i★ –i在你的电脑上运行

注册名称io.github.thyn-ai/codna

安装

概览

作者提供的说明（英文原文）

Repo intelligence: triage, fix PRs, SARIF reachability, recall. Free codna login to execute.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 其他
你需要填写：ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, GITHUB_TOKEN, CODNA_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, GITHUB_TOKEN, CODNA_API_KEY

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "codna": {
      "command": "uvx",
      "args": [
        "codna",
        "mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "CODNA_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add codna --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value --env GEMINI_API_KEY=your-value --env GITHUB_TOKEN=your-value --env CODNA_API_KEY=your-value -- uvx codna mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "codna": {
      "command": "uvx",
      "args": [
        "codna",
        "mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "CODNA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "codna": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "codna",
        "mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "GITHUB_TOKEN": "your-value",
        "CODNA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

ANTHROPIC_API_KEY 机密 env
Provider key for codna_fix's planner — any one of ANTHROPIC_API_KEY (Anthropic), OPENAI_API_KEY (OpenAI/ChatGPT), or GEMINI_API_KEY (Gemini) works (or store one with `codna key set `). Every tool als…
OPENAI_API_KEY 机密 env
Alternative provider key (OpenAI/ChatGPT) for codna_fix's planner — see ANTHROPIC_API_KEY.
GEMINI_API_KEY 机密 env
Alternative provider key (Gemini) for codna_fix's planner — see ANTHROPIC_API_KEY.
GITHUB_TOKEN 机密 env
Write token, only for codna_fix with open_pr=true (opens a pull request) and codna_report_bug (files an issue).
CODNA_API_KEY 机密 env
Codna key from the one-time free `codna login` (device authorization, free community license). Required to execute any of the five tools; introspection (initialize/tools/list) needs none.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 thyn-ai 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32433 个服务器的 0%
发布到注册中心的时间比此分类中其他 32433 个服务器的 99% 更新
基础检查结果等于或优于此分类中其他 32433 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Codna — repository intelligence 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, GITHUB_TOKEN, CODNA_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.2.106）于今天进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

Symantec Cloud DLP AIops

作者：AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Codna

Understand. Fix. Evolve.

Agents read your code. Codna understands it.

Codna maps a repository before it spends a token. It then reviews pull requests, fixes bugs and proves which scanner findings are reachable. The same codna command runs on your machine, in the GitHub Action and behind the GitHub App.

Runs on your machine or your cloud. Your code never leaves without your key.

Install

pip install codna          # or: pipx install codna · uv tool install codna

codna --version

Python 3.12–3.13. Wheels for macOS on Apple silicon and Linux x86_64. git on your PATH. Nothing else to install: no Node, Bun, Docker or server. The agent runtime ships inside the wheel.

Local commands need no Codna key. fix and review use your own model provider key, stored in the OS keychain and never printed:

codna key set anthropic    # also: openai, gemini, google, groq, mistral, openrouter, xai, cursor

Commands

codna triage . --issue "checkout total is wrong"     # suspect files. Deterministic. 0 LLM tokens.

codna review . --pr 123 --post # findings with a verdict on the pull request codna fix . --tests --apply --max-iterations 3 # patch, re-run your tests, re-fix until green codna fix --ref --issue "…" --open-pr # push a branch and open a pull request codna secure . --from-sarif results.sarif # which scanner findings are reachable. 0 LLM tokens.

codna fix prints the root cause, the impacted symbols, the blast radius, its confidence and a regression risk. --open-pr needs a git URL and a GitHub write token. codna review posts one inline comment per finding with severity, category and a suggestion block, and an Approve when the diff is clean at medium and high. codna secure reads SARIF 2.1.0 from CodeQL, Semgrep, Snyk, Trivy or any other scanner.

Other commands: init, status, doctor, login, key, impact, memory export, report. Full reference: docs.codna.ai/reference/cli.

MCP server

Run Codna as a Model Context Protocol server over stdio — the same engine the CLI uses, inside Cursor, Claude Desktop, or your own agent:

pipx install "codna[mcp]"       # or: pip install "codna[mcp]"

codna mcp # serve over stdio codna mcp install --client cursor # optional: write the client config for you (or --client claude)

Five tools, each returning JSON; a failure comes back as codna_ error: … text and never crashes the server:

Tool	What it does	Needs
`codna_triage`	Understand a repo and locate the code relevant to an issue. Deterministic, 0 LLM tokens.	free `codna login`
`codna_secure`	Prove which SARIF scanner findings (CodeQL, Semgrep, Snyk, Trivy) are reachable. Read-only, 0 LLM tokens.	free `codna login`
`codna_recall`	Recall code from local on-device memory — semantic + lexical search, fully offline.	free `codna login` (which also installs the on-device runtime)
`codna_fix`	Root-cause and plan a fix (read-only by default); with `open_pr=true` pushes a branch and opens a real PR.	free `codna login` + provider key (BYOK; + `GITHUB_TOKEN` for `open_pr=true`)
`codna_report_bug`	File a bug, feature, or question to thyn-ai/feedback.	free `codna login` + `GITHUB_TOKEN` (else returns a pre-filled URL)

Introspection (initialize/tools/list) needs no credentials. Executing any of the five tools requires the one-time free community login (codna login — device authorization, free community license) — fully offline thereafter. codna_fix additionally needs a provider key (BYOK, e.g. ANTHROPIC_API_KEY); codna_report_bug needs GITHUB_TOKEN or it returns a pre-filled issue URL; codna_recall additionally uses the on-device memory runtime that the same codna login installs. Full reference: docs.codna.ai/guides/mcp.

Code memory

Code memory and recall run on your machine after a one-time free codna login (device authorization), which also installs the signed on-device runtime. From then on, recall runs fully offline: no key, no network calls. The optional codna[memory] extra adds the on-device semantic reranker; without it, recall ranks lexically.

What leaves your machine

Repository mapping, triage, recall and impact run offline. No model is involved.
fix and review send one issue-specific evidence bundle to the provider you chose, under your key. Not the repository.
Secret redaction is always on and cannot be turned off.
privacy.egress: fail-closed in codna.yaml refuses to run tests without network denial and skips registry lookups during review.
Source distributions exclude runtime binaries, keys, .env files and logs.