MCP server for Claude Code, Cursor, Windsurf, and other MCP clients. Connect AI assistants to PostgreSQL, filesystems, GitHub, Slack, SSH, and 2,600+ enterprise systems using a single binary and simple YAML configuration.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add open-enthrium-ai -- npx -y to{
"mcpServers": {
"open-enthrium-ai": {
"command": "npx",
"args": ["-y", "to"]
}
}
}Resumen de MCP Servers
<div align="center">
<h1>Open Enthrium AI MCP Server</h1>
<h3>aka OE MCP · Enterprise MCP Server · Apache-2.0 · Claude Code · Cursor · Windsurf · Claude Desktop</h3>
**Connect any AI coding assistant to your enterprise data — databases, files, APIs, and more — via a single binary.**
[](LICENSE)
[](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases)
[](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-win.exe)
[](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-linux)
[](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-macos)
[](https://www.npmjs.com/package/@openenthrium/oe-mcp)
[](https://www.openenthrium.com)
[](https://discord.com/invite/vWsZ24Msn)
</div>
---
## What is OE MCP Server?
OE MCP Server is a standalone binary that implements the [Model Context Protocol (MCP)](https://modelcontextprotocol.io) and exposes your enterprise data sources as tools that AI apps can use directly.
Connect Claude Code, Cursor, Windsurf, or Claude Desktop to your PostgreSQL database, local filesystem, GitHub, Slack, Google Drive, SSH servers, and more — without writing any integration code.
- **No code.** Define connectors in a single YAML file.
- **45+ connector categories.** 2,600+ enterprise systems supported out of the box.
- **Two transport modes.** `--stdio` for Claude Code VS Code / desktop apps; `--serve` for Cursor, Windsurf, and cloud deployments.
- **Persistent memory.** Built-in `memory_set / memory_get / memory_list / memory_delete` tools — context survives across sessions.
- **Self-hosted.** Runs on your own machine. No cloud dependency. Own your data.
---
## Quick Start via npm (Recommended)
No binary download needed — `npx` handles everything automatically:
**macOS / Linux:**
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@openenthrium/oe-mcp", "--stdio", "/path/to/oe-mcp.yaml"]
}
}
}
```
**Windows:** use `npx.cmd` instead of `npx`:
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "npx.cmd",
"args": ["-y", "@openenthrium/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.yaml"]
}
}
}
```
> **Note:** `-y` tells npx to skip the install confirmation prompt. Without it, npx waits for keyboard input and the MCP connection never opens.
Add this to `~/.mcp.json` (Claude Code) and reload VS Code. Done.
---
## Download (Standalone Binary)
Prefer a standalone binary? Download for your platform:
| Platform | Binary |
|---|---|
| **Windows** | [oe-mcp-win.exe](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-win.exe) |
| **Linux** | [oe-mcp-linux](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-linux) |
| **macOS** | [oe-mcp-macos](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-macos) |
| **Sample configs** | [oe-mcp-samples.zip](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-samples.zip) — ready-to-use `oe-mcp.yaml` for common connectors |
---
## Quick Start (Binary)
**1. Download the binary for your OS**
```bash
# Linux / macOS — make executable
chmod +x oe-mcp-linux
```
**2. Create your config file** (`oe-mcp.yaml`)
```yaml
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 database."
```
**3. Connect your AI app** — see sections below for Claude Code, Cursor, and Windsurf.
---
## Claude Code (VS Code Extension)
**Option A — via npm (recommended, no binary download needed):**
macOS / Linux:
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@openenthrium/oe-mcp", "--stdio", "/path/to/oe-mcp.yaml"]
}
}
}
```
Windows:
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "npx.cmd",
"args": ["-y", "@openenthrium/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.yaml"]
}
}
}
```
> **Note:** `-y` skips npx's install confirmation prompt — without it, npx blocks waiting for keyboard input and the MCP connection never opens.
**Option B — via downloaded binary:**
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "/path/to/oe-mcp-win.exe",
"args": ["--stdio", "/path/to/oe-mcp.yaml"]
}
}
}
```
Reload VS Code — the MCP tools appear automatically in Claude Code.
---
## Cursor / Windsurf / Claude Desktop (HTTP mode)
Start the server manually, then point your AI app at the URL.
```bash
# Start the MCP server
oe-mcp-win.exe --serve --port 4040 oe-mcp.yaml
# OE MCP Server listening on http://localhost:4040/mcp
```
In Cursor settings → MCP → Add server:
```
http://localhost:4040/mcp
```
In Claude Desktop `claude_desktop_config.json`:
```json
{
"mcpServers": {
"oe-mcp": {
"url": "http://localhost:4040/mcp"
}
}
}
```
---
## Cloud Deployment (MCP as a Service)
Deploy `oe-mcp-linux` to any cloud server — AWS EC2, fly.io, Railway, DigitalOcean — and multiple developers connect to it via URL. No binary needed on each developer machine.
```bash
# On your cloud server
./oe-mcp-linux --serve --port 4040 /etc/oe-mcp/oe-mcp.yaml
```
Each developer adds to their Cursor / Windsurf:
```
http://your-server.com:4040/mcp
```
---
## Config File Reference (`oe-mcp.yaml`)
```yaml
connectors:
- name: <display-name> # must be unique; shown as the tool prefix
type: <connection-type> # see Connector Catalog below
# ... connector-specific credentials
memory:
- key: <key>
value: <value> # seed defaults; overridden at runtime via memory_set
```
### Example — Multiple Connectors
```yaml
connectors:
# ── SQL Databases ──────────────────────────────────────
- name: my-postgres
type: postgresql
host: db.company.com
port: 5432
database: production
user: readonly
password: secret
- name: my-mysql
type: mysql
host: localhost
port: 3306
database: mydb
user: root
password: secret
# ── NoSQL ──────────────────────────────────────────────
- name: my-mongo
type: mongodb
uri: mongodb://localhost:27017
database: mydb
- name: my-redis
type: redis
host: localhost
port: 6379
- name: my-elastic
type: elasticsearch
node: https://localhost:9200
apiKey: xxxxxxxxxxxx
# ── Object Storage ─────────────────────────────────────
- name: my-s3
type: s3
accessKeyId: AKIAXXXXXXXX
secretAccessKey: xxxxxxxxxxxx
region: us-east-1
bucket: my-bucket
# ── Cloud Drives ───────────────────────────────────────
- name: my-gdrive
type: gdrive
clientId: xxxx.apps.googleusercontent.com
clientSecret: xxxx
refreshToken: xxxx
# ── Code & Issue Tracking ──────────────────────────────
- name: my-github
type: github
token: ghp_xxxxxxxxxxxx
- name: my-jira
type: jira
host: https://company.atlassian.net
email: you@company.com
apiToken: xxxx
# ── Team Messaging ─────────────────────────────────────
- name: my-slack
type: slack
botToken: xoxb-xxxxxxxxxxxx
# ── Email ──────────────────────────────────────────────
- name: my-gmail
type: gmail
clientId: xxxx.apps.googleusercontent.com
clientSecret: xxxx
refreshToken: xxxx
- name: my-smtp
type: smtp
host: smtp.company.com
port: 587
user: you@company.com
password: secret
# ── SSH / Remote Server ────────────────────────────────
- name: my-server
type: ssh
host: server.company.com
port: 22
username: ubuntu
privateKey: /path/to/key.pem
# ── Filesystem ─────────────────────────────────────────
- name: my-codebase
type: filesystem
basePath: /home/user/projects
# ── REST API ───────────────────────────────────────────
- name: my-api
type: rest-api
baseUrl: https://api.company.com
headers:
Authorization: Bearer xxxx
# ── CRM ────────────────────────────────────────────────
- name: my-hubspot
type: hubspot
accessToken: pat-xxxxxxxxxxxx
# ── Message Queues ─────────────────────────────────────
- name: my-kafka
type: kafka
brokers:
- localhost:9092
memory:
- key: team
value: "Platform Engineering"
- key: environment
value: "production"
```
---
## Built-in Tools
### Connector Tools
Each connector exposes a set of tools prefixed with the connector name. Examples:
| Connector | Tools |
|---|---|
| `postgresql` / `mysql` / `mongodb` | `query` — run SQL or aggregation queries |
| `filesystem` | `list_dir`, `read_file`, `write_file`, `append_file`, `delete_file`, `make_dir`, `file_info`, `search_files` |
| `github` | `list_repos`, `get_file`, `create_issue`, `list_issues`, `list_prs`, `get_pr`, `search_code` |
| `slack` | `list_channels`, `post_message`, `get_messages`, `get_thread` |
| `ssh` | `execute_command`, `upload_file`, `download_fLo que la gente pregunta sobre open-enthrium-ai-mcp-server
¿Qué es enthrium/open-enthrium-ai-mcp-server?
+
enthrium/open-enthrium-ai-mcp-server es mcp servers para el ecosistema de Claude AI. MCP server for Claude Code, Cursor, Windsurf, and other MCP clients. Connect AI assistants to PostgreSQL, filesystems, GitHub, Slack, SSH, and 2,600+ enterprise systems using a single binary and simple YAML configuration. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-08-04.
¿Cómo se instala open-enthrium-ai-mcp-server?
+
Puedes instalar open-enthrium-ai-mcp-server clonando el repositorio (https://github.com/enthrium/open-enthrium-ai-mcp-server) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar enthrium/open-enthrium-ai-mcp-server?
+
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¿Quién mantiene enthrium/open-enthrium-ai-mcp-server?
+
enthrium/open-enthrium-ai-mcp-server es mantenido por enthrium. La última actividad registrada en GitHub es del 2026-08-04, con 0 issues abiertos.
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+
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