Enterprise MCP server for Claude Code, Cursor & Windsurf. Connect AI coding assistants to PostgreSQL, filesystems, GitHub, Slack, SSH & 2,600+ more via a single binary and a YAML config.
git clone https://github.com/openenterprise-info/open-enterprise-ai-mcp-server{
"mcpServers": {
"open-enterprise-ai": {
"command": "node",
"args": ["/path/to/open-enterprise-ai-mcp-server/dist/index.js"]
}
}
}Resumen de MCP Servers
<div align="center">
<h1>Open Enterprise 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/openenterprise-info/open-enterprise-ai-mcp-server/releases)
[](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-win.exe)
[](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-linux)
[](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-macos)
[](https://www.openenterprise.info)
[](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.
---
## Download
| Platform | Binary |
|---|---|
| **Windows** | [oe-mcp-win.exe](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-win.exe) |
| **Linux** | [oe-mcp-linux](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-linux) |
| **macOS** | [oe-mcp-macos](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-macos) |
| **Sample configs** | [oe-mcp-samples.zip](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-samples.zip) — ready-to-use `oe-mcp.yaml` for common connectors |
---
## Quick Start
**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)
Claude Code launches the binary automatically as a child process via `stdio`. No manual server start needed.
Add to `~/.mcp.json` (or your workspace `.mcp.json`):
```json
{
"mcpServers": {
"oe-mcp": {
"type": "stdio",
"command": "/path/to/oe-mcp-win.exe",
"args": ["--stdio", "/path/to/oe-mcp.yaml"]
}
}
}
```
> **Windows example:**
> ```json
> "command": "C:\\oe-mcp\\oe-mcp-win.exe",
> "args": ["--stdio", "C:\\oe-mcp\\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:
- name: production-db
type: postgresql
host: db.company.com
port: 5432
database: production
user: readonly
password: secret
- name: company-github
type: github
token: ghp_...
- name: team-slack
type: slack
botToken: xoxb-...
- name: source-code
type: filesystem
basePath: /home/user/projects
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_file`, `list_files` |
| `gdrive` | `list_files`, `get_file`, `create_file`, `update_file`, `search_files` |
| `rest-api` | `request` — any HTTP method against any endpoint |
### Memory Tools
Built-in memory tools available in every session:
| Tool | Description |
|---|---|
| `memory_set` | Store a key-value pair that persists across sessions |
| `memory_get` | Retrieve a stored value by key |
| `memory_list` | List all stored key-value pairs |
| `memory_delete` | Remove a stored key |
Memory is stored in `oe-mcp-memory.json` next to your `oe-mcp.yaml` and survives restarts.
**Example usage in Claude Code:**
> "Remember that our main database is on prod-db.company.com"
> → Claude calls `memory_set` with key `main_db_host` and value `prod-db.company.com`
---
## Connector Catalog
**2,600+ connectors across 45+ categories:**
| Category | Examples |
|---|---|
| **SQL Databases** | PostgreSQL, MySQL, MSSQL, Oracle, SQLite, Snowflake, BigQuery, Redshift |
| **NoSQL / Cache** | MongoDB, Redis, Elasticsearch, DynamoDB, Cassandra |
| **Object Storage** | AWS S3, GCS, Azure Blob, MinIO, Cloudflare R2 |
| **Cloud Drives** | Google Drive, OneDrive, Dropbox, Box |
| **Filesystem** | Local directories — list, read, write, search |
| **Email** | Gmail, Outlook, Zoho Mail, SMTP |
| **Team Messaging** | Slack, Microsoft Teams, Discord, Telegram |
| **CRM / Productivity** | HubSpot, Salesforce, Notion, Airtable |
| **Issue Tracking** | GitHub, Jira, GitLab, Linear |
| **REST API** | Any HTTP/REST endpoint |
| **GraphQL** | Any GraphQL endpoint |
| **SSH / SFTP** | Remote command execution, file transfer |
| **Message Queues** | Kafka, AWS SQS, Google Pub/Sub, RabbitMQ |
| **Search** | Perplexity, Google Search, Bing |
| **LDAP / Directory** | Active Directory, OpenLDAP |
| **OCR / Vision** | Azure Vision, Google Vision, AWS Textract |
| **Image Generation** | OpenAI, FLUX, Stable Diffusion |
| **Speech & Audio** | ElevenLabs, OpenAI TTS, Azure Speech |
| **Web3 / Blockchain** | Ethereum, Polygon, Solana |
| **Helpdesk** | Zendesk, Freshdesk, ServiceNow |
| **+ more** | Healthcare (FHIR), ERP (SAP), Marketing, Analytics, ... |
> **Binary vs Node.js mode**
>
> The standalone binary works for all connector categories **except** Oracle, MSSQL, SQLite, and Snowflake — these use native C++ addons that cannot be bundled into a single executable.
>
> If you need any of these four, run with Node.js instead:
> ```bash
> git clone https://github.com/openenterprise-info/open-enterprise-ai-mcp-server.git
> cd open-enterprise-ai-mcp-server/server
> yarn install
> # stdio mode (Claude Code)
> node mcp/index.js --stdio /path/to/oe-mcp.yaml
> # serve mode (Cursor, Windsurf, cloud)
> node mcp/index.js --serve --port 4040 /path/to/oe-mcp.yaml
> ```
> All other connectors (PostgreSQL, MySQL, MongoDB, Redis, S3, Slack, GitHub, REST API, SSH, filesystem, etc.) work directly with the binary — no Node.js required.
---
## Sample Configs
Download [oe-mcp-samples.zip](https://github.com/openenterprise-info/open-enterprise-ai-mcp-server/releases/latest/download/oe-mcp-samples.zip) for ready-to-use configs:
`postgres` · `mysql` · `mongodb` · `github` · `slack` · `gdrive` · `ssh` · `filesystem` · `oracle` · `multi-connector`
Each sample includes the complete `oe-mcp.yaml` with setup instructions in comments.
---
## Transport Modes
| Mode | Flag | Best for |
|--Lo que la gente pregunta sobre open-enterprise-ai-mcp-server
¿Qué es openenterprise-info/open-enterprise-ai-mcp-server?
+
openenterprise-info/open-enterprise-ai-mcp-server es mcp servers para el ecosistema de Claude AI. Enterprise MCP server for Claude Code, Cursor & Windsurf. Connect AI coding assistants to PostgreSQL, filesystems, GitHub, Slack, SSH & 2,600+ more via a single binary and a YAML config. Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala open-enterprise-ai-mcp-server?
+
Puedes instalar open-enterprise-ai-mcp-server clonando el repositorio (https://github.com/openenterprise-info/open-enterprise-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 openenterprise-info/open-enterprise-ai-mcp-server?
+
openenterprise-info/open-enterprise-ai-mcp-server aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene openenterprise-info/open-enterprise-ai-mcp-server?
+
openenterprise-info/open-enterprise-ai-mcp-server es mantenido por openenterprise-info. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a open-enterprise-ai-mcp-server?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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