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open-enthrium-ai-mcp-server

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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.

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Last scanned: 8/6/2026
Install in Claude Code / Claude Desktop
Method: NPX · to
Claude Code CLI
claude mcp add open-enthrium-ai -- npx -y to
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "open-enthrium-ai": {
      "command": "npx",
      "args": ["-y", "to"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Casos de uso

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: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-4f46e5.svg)](LICENSE)
[![GitHub Release](https://img.shields.io/github/v/release/enthrium/open-enthrium-ai-mcp-server?color=4f46e5&label=latest)](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases)
[![Windows](https://img.shields.io/badge/Windows-Download-0078D4?logo=windows&logoColor=white)](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-win.exe)
[![Linux](https://img.shields.io/badge/Linux-Download-E95420?logo=linux&logoColor=white)](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-linux)
[![macOS](https://img.shields.io/badge/macOS-Download-000000?logo=apple&logoColor=white)](https://github.com/enthrium/open-enthrium-ai-mcp-server/releases/latest/download/oe-mcp-macos)
[![npm](https://img.shields.io/npm/v/@openenthrium/oe-mcp?color=0284c7&label=npm)](https://www.npmjs.com/package/@openenthrium/oe-mcp)
[![Website](https://img.shields.io/badge/Website-openenthrium.com-4f46e5)](https://www.openenthrium.com)
[![Discord](https://img.shields.io/badge/Discord-Community-5865F2?logo=discord&logoColor=white)](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_f
binaryclaude-codeclaude-code-pluginclaude-desktopclaude-plugincursormcpmcp-toolsmodel-context-protocolopen-sourcewindsurfwindsurf-extensionyaml

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¿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.

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+

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