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)
Build and operate Dapr Workflows and Durable Agents on Diagrid Catalyst. Sign-in required.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.cloud.r1.diagrid.io/mcp在终端中运行这条命令
claude mcp add --transport http catalyst https://mcp.cloud.r1.diagrid.io/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"catalyst": {
"url": "https://mcp.cloud.r1.diagrid.io/mcp"
}
}
}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": {
"catalyst": {
"type": "http",
"url": "https://mcp.cloud.r1.diagrid.io/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://mcp.cloud.r1.diagrid.io/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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 diagrid.io 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.0.1)于16天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Python 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.
Local-only Python MCP server for the Files.com API.
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。
Build and operate Diagrid Catalyst by prompting — Dapr Workflows, Durable Agents, and the running system.
Verified end to end in Claude Code — installs in under 5 seconds, every skill registers, and a real Catalyst question fires the right skill and gets a grounded answer. In Codex and GitHub Copilot the install and every skill are verified, and Codex is confirmed to put them in front of the model; neither has yet answered a Catalyst question here, for reasons that are nothing to do with the skills.
Early release. The skills drive Catalyst through the remote Catalyst MCP server:
you add the server and sign in once. The one exception is an app tunnel, which lets
Catalyst call into a process on your machine. No MCP tool opens one, so
catalyst-app-tunnelsinstalls the Diagrid CLI and uses it for that alone. Read What works today for what is and is not available
over MCP yet.
claude plugin marketplace add diagridio/catalyst-ai
claude plugin install catalyst-ai@diagrid
Then check it landed — both commands, not just the second:
claude plugin list # expect Version: 0.7.0 or later
claude plugin details catalyst-ai@diagrid # expect 12 skills
list reports the version you actually have. details reports the version the marketplace is offering, reading the installed copy only when the two agree — so on its own it can show you 12 skills while your session loads 11. If either looks wrong, jump to If your install is behind.
The same marketplace also lists dapr-skills, for Dapr applications that run outside Catalyst — see Also in this marketplace.
The plugin also registers the Catalyst MCP server, https://mcp.cloud.r1.diagrid.io/mcp. It stays empty until you sign in once. In Claude Code, run /mcp, pick plugin:catalyst-ai:catalyst and complete the browser sign-in. There is no API key.
If you already added the server yourself with claude mcp add, remove that entry (claude mcp remove catalyst --scope user) once the plugin is installed. Otherwise you have two copies of every Catalyst tool.
The plugin requests the scopes catalyst:read catalyst:write offline_access. Without offline_access there is no refresh token, so you sign in again each time the session expires. Write tools, such as catalyst_apply, are left out of the tool list entirely when your role is read-only or the sign-in did not grant write scope. If they are missing, sign in again and approve write access; if they are still missing, your role is read-only.
Check it worked by asking: *"Who am I in Catalyst?"* The answer comes from catalyst_whoami.
Every client connects to the same remote server, https://mcp.cloud.r1.diagrid.io/mcp (the r1 is required), and signs in with OAuth in the browser. The authorization server does not accept dynamic registration, so a client that tries to register itself fails. Each client below uses its registered client ID instead: codex, copilot-cli, vscode, claude-code, or claude-web for claude.ai. VS Code and the Copilot CLI can also sign in without one, because the server reads the client metadata they publish.
Each snippet below also sets an X-Catalyst-Plugin-Version header to the plugin version, which lets the server see which version of these instructions a client was set up from. It goes only on the MCP requests the client already makes. When you update the skills, update the header to match.
Install the skills for the client first (below), then:
Codex
codex mcp add catalyst --url https://mcp.cloud.r1.diagrid.io/mcp --oauth-client-id codex
codex mcp login catalyst
codex mcp add has no header flag, so add this to ~/.codex/config.toml under the server it just wrote:
[mcp_servers.catalyst.http_headers]
X-Catalyst-Plugin-Version = "0.8.0"
GitHub Copilot CLI
copilot mcp add has no client-ID flag, so add the server and then set oauthClientId in ~/.copilot/mcp-config.json:
{
"mcpServers": { "catalyst": { "type": "http", "url": "https://mcp.cloud.r1.diagrid.io/mcp", "headers": { "X-Catalyst-Plugin-Version": "0.8.0" }, "oauthClientId": "copilot-cli", "tools": ["*"] } } }
Then run /mcp inside Copilot and authenticate the catalyst server in the browser.
VS Code (Copilot Chat), in .vscode/mcp.json or your user MCP configuration:
{
"servers": { "catalyst": { "type": "http", "url": "https://mcp.cloud.r1.diagrid.io/mcp", "headers": { "X-Catalyst-Plugin-Version": "0.8.0" }, "oauth": { "clientId": "vscode" } } } }
VS Code opens a browser for authorization on the first connection. See the VS Code MCP configuration reference.
claude.ai and Claude Desktop: in claude.ai, open Settings → Connectors → Add custom connector, enter the URL above, and under Advanced settings set the OAuth client ID to claude-web. Then Connect and sign in. Claude Desktop uses the connectors of the same account. Without the client ID, the connector tries to register itself and the sign-in fails. Custom connectors cannot set request headers, so this one sends no X-Catalyst-Plugin-Version. This route gives you the MCP tools only; the skills need a client from Install. Verified on claude.ai on 2026-10-29: the connector signed in and the chat could say who was signed in to Catalyst. Claude Desktop shares those connectors but has not been tried separately.
Anything else (Gemini CLI, Zed, Antigravity and so on): add the URL as a remote (streamable HTTP) MCP server in that client's own MCP setup and use its MCP sign-in.
The server is also listed in the official MCP Registry as io.diagrid/catalyst (search the registry), so clients with a registry-backed server gallery can find it there.
npx -y skills add diagridio/catalyst-ai --agent github-copilot --skill '*' --global --yes
Use repeated `--agent` flags if you pass more than one. The comma form (-a codex,github-copilot) is what the upstream README documents, and it prints Invalid agents:, installs nothing and exits 1 — so it fails honestly, and a step checking the exit code catches it. Re-measured on 1.5.22 and 1.5.23; an earlier version of this line claimed exit 0, which was a measurement error.
The failure that *is* silent is a missing -y where nothing can answer the prompt, which is every CI runner: it prints Done!, installs zero skills, and exits 0. Pass -y, and assert a skill count rather than an exit code.
--global writes all twelve skills to ~/.copilot/skills/. Copilot should read them in every project from there. Not yet verified: we have checked only that the installer writes that directory, not that Copilot loads skills from it. Check that Copilot sees them:
copilot skill list # expect all 12
If it shows none, run the per-project command (without --global) from the repository root.
Without --global the skills go into .agents/skills/ under the folder you ran the command in. Copilot reads project skills only at the root of the repository it is working in, so an install from a subfolder, or from a folder Copilot does not treat as that root, leaves it with no skills and no error. Don't rely on npx skills list for this — its "Agents:" line only names agents it detects as installed on your machine, so it will quietly leave out a client you haven't installed yet.
These read the shared .agents/skills/ project directory, not ~/.copilot/skills/, so install per project, from your repository's root:
npx -y skills add diagridio/catalyst-ai --agent github-copilot --skill '*' --yes
Without --global, the github-copilot target writes that shared directory.
Not yet verified: we have not checked whether VS Code Copilot Chat reads skills from ~/.copilot/skills/, from .agents/skills/ at the workspace root, or both. Until then, run the per-project command above from your workspace root, which writes .agents/skills/.
npx -y skills add diagridio/catalyst-ai --agent codex --skill '*' --yes
.agents/skills/ is Codex's project skills directory too — the installer maps codex there by design, so seeing no .codex/ created is correct rather than a failed install. Codex reads them: codex debug prompt-input renders the model-visible prompt, and all of them appear in its block with their descriptions intact, byte for byte. Codex's own guidance text says automatic skill selection is allowed by default, so you shouldn't have to name a skill — though nobody has yet confirmed that from a real session.
| skills install | skills register | a question answered | |
|---|---|---|---|
| Claude Code 2.1.241 | ✅ 4.7 s | ✅ 10/10 | ✅ right skill fires unprompted, grounded answer |
| Codex 0.149.0 | ✅ 2.0 s | ✅ 10/10, in the model-visible prompt | not yet verified |
| GitHub Copilot 1.0.80 | ✅ 2.0 s (per-project install; --global not yet re-measured) | ✅ 10/10 | not yet verified |
These were measured with the first ten skills. catalyst-app-tunnels and catalyst-agent-harness have not been re-measured on these clients yet.
If you can get Codex or Copilot to answer a Catalyst question, that is the single most useful thing you can report — with the wording you used and which skill fired. A skill that never fires looks identical to a session where nothing relevant came up, which is why this needs a human rather than an installer's exit code.
This marketplace lists a second plugin, dapr-skills: the same subjects on open-source Dapr — scaffold a new app, add Dapr to an existing one, migrate a TypeScript service onto Dapr building blocks, and review Dapr Workflow, pub/sub and durable agent code that runs on your own machine under the Dapr CLI or .NET Aspire.
claude plugin install dapr-skills@diagrid
They are built to sit side by side. Each dapr-skills skill that overlaps with one here says so in its description and points at this plugin for anything that runs on Catalyst, which is meant to keep the two from both firing on the same question. Nothing in CI checks that across repos yet, so if both plugins answer one request, please report it. The dapr-skills source is pinned to a commit in marketplace.json and moves only through a reviewed change here.
New to Catalyst? In Claude Code, type one of these to see a crash-and-recover run end to end. Each is a single line, so there's nothing to paste:
/catalyst-ai:try-workflow: a durable workflow crashes mid-run and resumes where it stopped./catalyst-ai:try-agent: the same for a durable AI agent. It defaults to LangGraph, which needs no API key. Name a framework from catalyst-quickstarts to get that one instead: /catalyst-ai:try-agent crewai.In other clients, paste the matching prompt from commands/. It's the same text. The agent prompt opens with "Use the agent framework I named in my message", so add that name to what you paste — Use crewai. on the end does it.
After that, you don't learn commands. Try:
Set up Diagrid Cat
只显示了开头部分;其余内容请在仓库中阅读