Open Enterprise AI MCP Server

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<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.

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What is OE MCP Server?

OE MCP Server is a standalone binary that implements the Model Context Protocol (MCP) 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.

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Quick Start via npm (Recommended)

No binary download needed — npx handles everything automatically:

macOS / Linux:

{
  "mcpServers": {
    "oe-mcp": {
      "command": "npx",
      "args": ["@openenterprise/oe-mcp", "--stdio", "/path/to/oe-mcp.yaml"]
    }
  }
}

Windows: use npx.cmd instead of npx:

{
  "mcpServers": {
    "oe-mcp": {
      "command": "npx.cmd",
      "args": ["@openenterprise/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.yaml"]
    }
  }
}

Add this to ~/.mcp.json (Claude Code) and reload VS Code. Done.

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Download (Standalone Binary)

Prefer a standalone binary? Download for your platform:

Platform	Binary
Windows	oe-mcp-win.exe
Linux	oe-mcp-linux
macOS	oe-mcp-macos
Sample configs	oe-mcp-samples.zip — ready-to-use oe-mcp.yaml for common connectors

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Quick Start (Binary)

1. Download the binary for your OS

# Linux / macOS — make executable
chmod +x oe-mcp-linux

2. Create your config file (oe-mcp.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.

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Claude Code (VS Code Extension)

Option A — via npm (recommended, no binary download needed):

macOS / Linux:

{
  "mcpServers": {
    "oe-mcp": {
      "command": "npx",
      "args": ["@openenterprise/oe-mcp", "--stdio", "/path/to/oe-mcp.yaml"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "oe-mcp": {
      "command": "npx.cmd",
      "args": ["@openenterprise/oe-mcp", "--stdio", "C:\\path\\to\\oe-mcp.yaml"]
    }
  }
}

Option B — via downloaded binary:

{
  "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.

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Cursor / Windsurf / Claude Desktop (HTTP mode)

Start the server manually, then point your AI app at the URL.

# 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:

{
  "mcpServers": {
    "oe-mcp": {
      "url": "http://localhost:4040/mcp"
    }
  }
}

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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.

# 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

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Config File Reference (oe-mcp.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

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"

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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

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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:

git clone https://github.com/enthrium/open-enthrium-ai-mcp-server.git
cd open-enthrium-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.

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Sample Configs

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.

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Transport Modes

Mode	Flag	Best for
stdio	--stdio	Claude Code VS Code extension, Claude Desktop — binary launched as child process automatically
HTTP	--serve	Cursor, Windsurf, cloud deployments, multiple developers sharing one server

Both modes are supported in the same binary — just pass the appropriate flag.

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Part of Open Enthrium

OE MCP Server is part of the Open Enthrium platform.

⚡ Agent Runtime	open-enthrium-ai-agent-runtime — run YAML agents as CLI or HTTP server
🖥️ Platform (Docker)	open-enthrium-ai-platform — full web app with workspaces, RAG, Agent Builder, DLP
🌐 Website	openenthrium.com

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License

Apache-2.0 — free to use, modify, and deploy for any purpose, including commercial use. No usage limits. No telemetry. No call-home.

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⭐ Star this repo  ·  🌐 Website  ·  ⚡ Agent Runtime

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