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)
Agent eXoskeleton Framework control plane for workspace-native agent capabilities over MCP.
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。
AXF_PROJECT_ROOT, AXF_EXECUTION_ROOT, AXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACE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": {
"axf": {
"command": "npx",
"args": [
"-y",
"@smartergpt/axf",
"mcp"
],
"env": {
"AXF_PROJECT_ROOT": "your-value",
"AXF_EXECUTION_ROOT": "your-value",
"AXF_WORKSPACE": "your-value",
"AXF_REGISTRY_WORKSPACE": "your-value",
"AXF_EXECUTION_WORKSPACE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add axf --env AXF_PROJECT_ROOT=your-value --env AXF_EXECUTION_ROOT=your-value --env AXF_WORKSPACE=your-value --env AXF_REGISTRY_WORKSPACE=your-value --env AXF_EXECUTION_WORKSPACE=your-value -- npx -y @smartergpt/axf mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"axf": {
"command": "npx",
"args": [
"-y",
"@smartergpt/axf",
"mcp"
],
"env": {
"AXF_PROJECT_ROOT": "your-value",
"AXF_EXECUTION_ROOT": "your-value",
"AXF_WORKSPACE": "your-value",
"AXF_REGISTRY_WORKSPACE": "your-value",
"AXF_EXECUTION_WORKSPACE": "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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"axf": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@smartergpt/axf",
"mcp"
],
"env": {
"AXF_PROJECT_ROOT": "your-value",
"AXF_EXECUTION_ROOT": "your-value",
"AXF_WORKSPACE": "your-value",
"AXF_REGISTRY_WORKSPACE": "your-value",
"AXF_EXECUTION_WORKSPACE": "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。
AXF_PROJECT_ROOT envAXF_EXECUTION_ROOT envAXF_WORKSPACE envAXF_REGISTRY_WORKSPACE envAXF_EXECUTION_WORKSPACE env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7日
注册名称已通过域名 smartergpt.dev 验证(注册中心会核实域名所有权)
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(2.1.4)于18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, Date Math
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.
Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.
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。
Fit the repository once. Let every agent follow the same paved path.
An agent can read your code. It still has to rediscover how this repository wants to be built, tested, searched, diagnosed, and operated. The clues are usually scattered across scripts, package tasks, prose, CI, and human memory.
AXF (Agent eXoskeleton Framework) turns that repeated local ceremony into small, self-describing capabilities. Fit the exoskeleton deliberately once; later agents can discover the right route, inspect its contract, and run it without rebuilding the procedure from scratch.
recurring repository ceremony
↓ fit once inspectable AXF capabilities ↓ reuse agent discovers → inspects → runs
AXF is a traffic cop, not a replacement vocabulary. It preserves a provider's existing command family by default, then projects or normalizes only the parts that need a clearer agent-facing contract. The goal is not to automate judgment. It is to spend less judgment on reconstructing the same route.
You do not need the framework vocabulary to use a fitted repository:
echo module or a repository-owned validation pack.The smallest proof of life is:
npm install --global @smartergpt/axf
axf doctor axf list --compact axf inspect echo say axf run echo say --message hello
AXF 2.1.5 is published under Apache-2.0; earlier npm releases retain their published terms. Outside a fitted workspace, with no root override, this example discovers the bundled manifests in the installed package. doctor reports that project root separately from the current execution directory. An explicit AXF_PROJECT_ROOT overrides discovery; an empty directory without an axf.workspace.json marker has no capabilities. A fitted repository normally adds its own capabilities; echo.say only proves that the registry, resolver, adapter, and executor are connected.
Before AXF, a new agent searches multiple instruction files, reverse-engineers package scripts, guesses the safe validation subset, and repeats that work in the next session.
After a deliberate fit, the repository can expose stable entries such as context, check, and handoff. A caller starts with axf guide, inspects the selected capability, and runs the repository-owned route. AXF makes the route visible; the repository still owns it.
AXF helps when:
AXF is probably not a fit when one obvious command already covers the work, the ceremony is unlikely to recur, or the provider surface changes faster than the team can maintain a capability contract.
The adoption question is:
Does this repository have repeated local operating ceremony that is worth
fitting once into stable, inspectable agent capabilities?
For a bounded, strictly read-only assessment, give an agent this prompt:
Evaluate whether this repository is a fit for AXF by following
docs/agent-evaluation.md. Do not install AXF, edit files, scaffold or promote capabilities, invoke MCP tools, or run repository code. Inspect only the existing scripts, package tasks, documentation, agent instructions, CI and platform/runtime constraints. Identify repeated mistakes and existing overlap, then return exactly one verdict: adopt, pilot, defer, or not a fit. Include the evidence, expected fitting cost, ongoing drift cost, authority boundaries, and the smallest reversible pilot. Do not perform the pilot without separate approval.
See Agent fit evaluation for the evidence checklist, verdict definitions, and response template.
| You are... | Start here | Your job |
|---|---|---|
| A caller or coding agent | Caller guide | Discover, inspect, and run capabilities someone else fitted. |
| An integration author | Integration author guide | Fit existing repository or provider ceremony into stable capabilities. |
| An AXF framework author | Framework author guide | Change loaders, resolution, adapters, policy, MCP, or other AXF internals. |
Stop at the caller guide unless you are responsible for fitting a provider or changing AXF itself. The complete audience map is in Documentation layers.
Status: alpha. The core loop is in place: scout, inspect, execute,
scaffold, and promote capabilities through one contract. Manifest version
axf/v0is the current alpha contract.
AXF is not a universal command catalog, a source of authorization, a replacement for provider identity, a substitute for review, or an MCP-only product. MCP is one agent-facing surface over the same registry and execution path.
AXF is licensed under the Apache License, Version 2.0, including commercial and organizational use under its terms. Preserve the applicable notices. Earlier releases retain their applicable terms.
SmarterGPT was founded by Joseph Gustavson (Guffawaffle). See stewardship, contributing, and project identity. Code licensing does not grant runtime authority.
The npm package name is @smartergpt/axf. It installs two bins:
axf — the CLI entrypoint, including the stdio MCP launch subcommand axf mcpaxf-mcp — the stdio MCP server entrypointMCP clients may launch axf-mcp directly. For registry-driven or package-driven launch, prefer axf mcp so the package can stay centered on the base axf command surface. Both entrypoints start the same stdio MCP server. The server exposes exactly one MCP tool named axf, and that tool routes into AXF's existing capability surface for the bound workspace.
npm install --global @smartergpt/axf
Then use either bin directly:
axf doctor
axf mcp axf-mcp
Audit a Codex MCP package pin before assuming the configured server matches the installed CLI:
axf integrate codex --check
axf integrate codex --write axf integrate codex --check --smoke
Writes are scoped to the AXF package spec in Codex config.toml; restart or reopen Codex afterward. For one-call AXF + Lex bootstrap, including the explicit off | shadow KnowledgeFrame provider rollout, see the packaged templates/session-context workspace recipe and docs/13-repo-onboarding.md.
From a local clone, run the bins directly with Node:
node /path/to/axf/bin/axf.js doctor
node /path/to/axf/bin/axf.js mcp node /path/to/axf/bin/axf-mcp.js
A repo-local MCP configuration can either call the direct MCP bin or the CLI subcommand. Prefer the CLI subcommand when the client supports command arguments cleanly:
{
"mcpServers": { "axf": { "command": "node", "args": ["/path/to/axf/bin/axf.js", "mcp"], "cwd": "/path/to/project", "env": { "AXF_PROJECT_ROOT": "/path/to/project", "AXF_EXECUTION_ROOT": "/path/to/project" } } } }
Direct-bin configs remain valid:
{
"mcpServers": { "axf": { "command": "node", "args": ["/path/to/axf/bin/axf-mcp.js"], "cwd": "/path/to/project", "env": { "AXF_PROJECT_ROOT": "/path/to/project", "AXF_EXECUTION_ROOT": "/path/to/project" } } } }
Published-package smoke tests must run from a clean directory such as /tmp, not from the AXF repo root. Running from the repo root can let npx or npm exec pick up a repo-local or globally installed axf binary instead of the package-installed one.
The registry-friendly launch shape is axf mcp, but the direct MCP bin remains valid for manual configurations. These equivalent package-driven forms use the published npm package:
npx -y --package @smartergpt/axf axf doctor
npx -y --package @smartergpt/axf axf mcp npx -y --package @smartergpt/axf axf-mcp
npm exec --yes --package @smartergpt/axf -- axf doctor npm exec --yes --package @smartergpt/axf -- axf mcp npm exec --yes --package @smartergpt/axf -- axf-mcp
For registry-style Windows MCP configs, prefer the base axf.cmd launcher with mcp as an argument:
{
"mcpServers": { "axf": { "command": "axf.cmd", "args": ["mcp"], "cwd": "C:\\src\\my-project", "env": { "AXF_PROJECT_ROOT": "C:\\src\\my-project", "AXF_EXECUTION_ROOT": "C:\\src\\my-project" } } } }
Direct-bin .cmd configs are still valid:
{
"mcpServers": { "axf": { "command": "axf-mcp.cmd", "args": [], "cwd": "C:\\src\\my-project", "env": { "AXF_PROJECT_ROOT": "C:\\src\\my-project", "AXF_EXECUTION_ROOT": "C:\\src\\my-project" } } } }
For registry-style WSL/Linux MCP configs, prefer the base axf command with mcp as the first argument:
{
"mcpServers": { "axf": { "command": "axf", "args": ["mcp"], "cwd": "/home/user/src/my-project", "env": { "AXF_PROJECT_ROOT": "/home/user/src/my-project", "AXF_EXECUTION_ROOT": "/home/user/src/my-project" } } } }
Direct-bin configs remain valid:
{
"mcpServers": { "axf": { "command": "axf-mcp", "args": [], "cwd": "/home/user/src/my-project", "env": { "AXF_PROJECT_ROOT": "/home/user/src/my-project", "AXF_EXECUTION_ROOT": "/home/user/src/my-project" } } } }
WSL users should use a native WSL AXF install on PATH, not Windows npm shims or npm's _npx cache. Optional shared packs that launch native CLIs should follow the same rule: prefer Linux-native tools earlier on PATH and avoid crossing into Windows shims from WSL.
axf, axf mcp, and axf-mcp resolve the active project root and execution root in this order:
--project-root and --execution-rootAXF_PROJECT_ROOT and AXF_EXECUTION_ROOT--workspace, --registry-workspace, --execution-workspaceAXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACEaxf.workspace.json from cwdaxf.workspace.json from the installed script locationcwd fallbackFor axf run, unprefixed root flags are global only before the subcommand; after run they are capability-owned. Non-run commands retain their legacy placement because they have no downstream argument owner. The --axf-project-root, --axf-execution-root, and --axf-workspace spellings are accepted later in the AXF-controlled portion of a command. After an axf run ... -- boundary, root-like names belong to the capability.
AXF reserves the --axf-* namespace for framework controls and leaves natural public argument names to capabilities. Use an explicit boundary when the ownership should be visible in the command itself:
ax只显示了开头部分;其余内容请在仓库中阅读