Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Local context and engineering evidence for AI coding agents.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
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": {
"codeledger": {
"command": "npx",
"args": [
"-y",
"@codeledger/cli",
"mcp",
"start"
]
}
}
}在终端中运行这条命令
claude mcp add codeledger -- npx -y @codeledger/cli mcp start粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"codeledger": {
"command": "npx",
"args": [
"-y",
"@codeledger/cli",
"mcp",
"start"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"codeledger": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@codeledger/cli",
"mcp",
"start"
]
}
}
}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。
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。
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
注册名称已通过 GitHub 账户 codeledgerECF 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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)。
GitHub 仓库最后更新于–,最新版本(0.10.82)于7天前进入注册中心。
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 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, dotnet-mcp
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
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。
Give AI coding agents the right repo context before they start - then verify what changed.
CodeLedger is local-first context control for AI coding agents. It scans a repository, selects a bounded task-relevant set of files, and writes an evidence-backed context bundle before the agent begins work.
Works with Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, and other CLI or MCP-compatible coding agents.
npm install -g @codeledger/cli
cd your-project codeledger ready --task "Fix null handling in user service"
CodeLedger initializes the repo if needed, refreshes the index, and creates the task-specific bundle at .codeledger/active-bundle.md. Your agent reads that artifact first so it starts with the files most relevant to the task.
Runtime analysis is local by default. Installing or updating may fetch packages or release artifacts from npm and GitHub Releases; CodeLedger runtime analysis does not send your source code through CodeLedger telemetry by default.
Example result from a mid-sized Node.js service. Results vary by repository, task, agent, and scenario.
| Metric | Without CodeLedger | With CodeLedger | Change |
|---|---|---|---|
| Tests Passed | 78% | 94% | +16% |
| Iterations | 4 | 2 | -50% |
| Files Changed | 17 | 9 | -47% |
| Time to Finish | 6m 12s | 3m 40s | -41% |
| Token Usage | 28k | 18k | -36% |
Do not take the benchmark on faith - measure CodeLedger on your own repo:
codeledger compare \
--scenario .codeledger/harness/scenarios/auth-rate-limit.json \ --guided
If CodeLedger improves your coding-agent workflow, star the repo to follow releases and help other developers discover it.
.codeledger/active-bundle.md for your coding agent.Same task plus same repo state produces the same file ranking behavior.
For the full command surface, see the CLI Reference.
Claude Code can use CodeLedger hooks after codeledger ready initializes the repo. Cursor, Codex, GitHub Copilot, Gemini CLI, Aider, Windsurf, and other agents can read CLAUDE.md plus .codeledger/active-bundle.md, or use the repo-local wrappers when available.
CodeLedger also includes an MCP server for supported tiers:
codeledger mcp start
codeledger mcp status
See MCP Server and Feature Tiers for setup and tier details.
SHA256SUMS and release-evidence artifacts.codeledger doctor checks the local install, hooks, config, index, and ledger health.LICENSE-CORE.npm install -g @codeledger/cli
codeledger --version
Or use the release zip:
install.sh.The installer uses the bundled package from the zip, so the installed wrapper version matches the release. The wrapper then fetches the matching hardened binary from the GitHub release unless your environment already provides it.
cd your-project
codeledger ready codeledger ready --task "Fix null handling in user service"
Inside an initialized repo, you can also use:
codeledger activate --task "Fix null handling in user service"
codeledger doctor
Browser, cloud, and sandboxed environments can use the repo-local runtime deployed under .codeledger/bin/ after initialization or vendoring.
CodeLedger has an open public surface and a protected hardened runtime:
PUBLIC: CLI wrapper, types, repo scanner, harness, reports, docs, hooks
PROTECTED: Scoring engine, selection algorithm, confidence internals
Use codeledger about, codeledger doctor, and command-specific --explain output to inspect behavior and evidence without exposing protected implementation internals.
GitHub may classify the combined licensing structure as "Other" because the repo includes both MIT-covered public files and separately licensed protected runtime terms. Changing the license files should be a human legal decision.
CodeLedger applies Intelligent Context AI's context-control architecture to software engineering. For enterprise-wide governed context across applications and agents, see ContextECF.
CodeLedger is produced by Intelligent Context AI, Inc. See codeledger.dev.