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)
Connect any AI coding app to enterprise data sources. One binary, one JSON config.
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。
OE_MCP_CONFIG_PATH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": {
"oe": {
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add oe --env OE_MCP_CONFIG_PATH=your-value -- npx -y @openenthrium/oe-mcp --stdio '${OE_MCP_CONFIG_PATH}'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": {
"oe": {
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"oe": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@openenthrium/oe-mcp",
"--stdio",
"${OE_MCP_CONFIG_PATH}"
],
"env": {
"OE_MCP_CONFIG_PATH": "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。
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 enthrium 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。
你需要填写:OE_MCP_CONFIG_PATH
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(1.6.6)于3个月前进入注册中心。
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, Zoo 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.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
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。
Open Enthrium AI MCP Server Enterprise MCP Server · Apache-2.0 · Claude Code · Cursor · Windsurf · Codex · Claude Desktop · VS Code
Connect any AI coding assistant to your enterprise data — databases, files, APIs, and more — via a single binary.
A standalone binary that implements the Model Context Protocol (MCP) and exposes your enterprise data sources as tools that AI apps can use directly. No code. Define connectors in a single JSON file.
--stdio for Claude Code / Cursor / Windsurf; --serve for cloud or team deploymentsmemory_set / memory_get / memory_list / memory_delete survive across sessionsrun_agent executes any OE Runtime SKILL.md agent directly from Claude Code, Cursor, or any MCP client. Manual skills pause for approval via approve_chain.1. Create `oe-mcp.json`:
{
"connectors": [ { "name": "my-postgres", "type": "postgresql", "host": "localhost", "port": 5432, "database": "mydb", "user": "postgres", "password": "secret" }, { "name": "my-codebase", "type": "filesystem", "basePath": "/home/user/projects/myapp" } ], "memory": [ { "key": "project_context", "value": "This is our main application." } ] }
2. Add to your AI app's MCP config:
macOS / Linux:
{
"mcpServers": { "oe-mcp": { "type": "stdio", "command": "npx", "args": ["-y", "@openenthrium/oe-mcp", "--stdio", "/path/to/oe-mcp.json"] } } }
Windows:
{
"mcpServers": { "oe-mcp": { "type": "stdio", "command": "npx.cmd", "args": ["-y", "@openenthrium/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.json"] } } }
`-y` is required — without it npx blocks waiting for keyboard input and the MCP connection never opens.
3. Reload your AI app — connectors appear as tools automatically.
Ask Claude: _"What connectors do you have access to?"_ to verify.
| Platform | Binary |
|---|---|
| Windows | oe-mcp-win.exe |
| Linux | oe-mcp-linux |
| macOS | oe-mcp-macos |
| Sample configs | oe-mcp-samples.zip |
Persistent memory that survives restarts — stored in oe-mcp-memory.json:
| Tool | Description |
|---|---|
memory_set | Store a key-value pair across sessions |
memory_get | Retrieve a stored value by key |
memory_list | List all stored key-value pairs |
memory_delete | Remove a stored key |
_"Remember that our production database is on prod-db.company.com"_ → Claude calls
memory_set
Every connector call is logged automatically to oe-mcp-log.json:
| Tool | Description |
|---|---|
log_list | List recent connector calls (newest first, supports limit) |
log_clear | Clear all log entries |
Execute OE Runtime SKILL.md agents or YAML agents directly from Claude Code, Cursor, or any MCP client — no terminal required:
| Tool | Description |
|---|---|
run_agent | Run an agent by file path. Auto skills execute immediately; manual skills pause and return pending_skill_chain. |
list_pending_skills | List all manual skills currently paused and waiting for approval |
approve_chain | Approve, skip, or abort a paused manual skill by chain_id |
`run_agent` parameters:
| Parameter | Required | Description |
|---|---|---|
file | ✅ | Absolute path to agent.yaml |
params | ❌ | Key-value pairs substituted via {{key}} in the agent |
input | ❌ | Optional initial message passed to the agent |
`approve_chain` parameters:
| Parameter | Required | Description |
|---|---|---|
chain_id | ✅ | From pending_skill_chain.chain_id in a run_agent response |
approved | ❌ | true to run the skill (default), false to skip it and continue |
abort | ❌ | true to stop the entire pipeline immediately |
OE MCP looks for oe-config.json in the agent's directory first, then falls back to oe-mcp.json.
When an agent's skill pipeline includes manual skills, Claude handles the approval loop automatically:
run_agent → response shows ⏸ Skill awaiting approval with chain_id and skill_nameapprove_chain → next skill runs or the next manual skill pauses againPipeline complete or Claude abortsExample instruction to Claude Code: _"Run the OE Skills orchestrator and send a Slack message — skip anything you can't do, abort if it asks for credentials."_
| Mode | Flag | Best for |
|---|---|---|
| stdio | --stdio | Claude Code, Cursor, Windsurf, Codex, Claude Desktop — launched as child process |
| HTTP | --serve --port 4040 | Cloud deployments, sharing one server across a team |
HTTP mode — start the server, then add the URL to Cursor / Windsurf / Claude Desktop:
oe-mcp-linux --serve --port 4040 /path/to/oe-mcp.json
Download oe-mcp-samples.zip — ready-to-use oe-mcp.json for common connectors:
postgres · mysql · mongodb · github · slack · gdrive · ssh · filesystem · oracle · salesforce · servicenow · telegram · notion · confluence · graphql · zoho-mail · sftp · dropbox · multi-connector
| ⚡ Agent Runtime | open-enthrium-ai-agent-runtime — run SKILL.md agents as CLI or HTTP server |
| 🖥️ Platform | open-enthrium-ai-platform — full web app with workspaces, RAG, Agent Builder |
| 🌐 Website | openenthrium.com |
→ See [CONTRIBUTING.md](CONTRIBUTING.md) for how to add sample configs and connector adapters.
Apache-2.0 — free to use, modify, and deploy for any purpose, including commercial use. No usage limits. No telemetry. No call-home.
[⭐ Star this repo](https://github.com/enthrium/open-enthrium-ai-mcp-server) · [🌐 Website](https://www.openenthrium.com) · [⚡ Agent Runtime](https://github.com/enthrium/open-enthrium-ai-agent-runtime)