Connect Claude Code, Cursor, Windsurf, Codex, Claude Desktop, and VS Code to enterprise data sources — databases, APIs, files, SSH, messaging, and more. One binary. One JSON config.

Quick Start

1. Create oe-mcp.json:

{
  "connectors": [
    { "name": "my-postgres",  "type": "postgresql",  "host": "localhost", "port": 5432, "database": "mydb", "user": "postgres", "password": "secret" },
    { "name": "my-github",    "type": "github",      "repoUrl": "https://github.com/your-org/your-repo", "personalAccessToken": "ghp_xxxxxxxxxxxx" },
    { "name": "my-slack",     "type": "slack",       "botToken": "xoxb-xxxxxxxxxxxx" },
    { "name": "my-codebase",  "type": "filesystem",  "basePath": "/home/user/projects/myapp" },
    { "name": "my-api",       "type": "rest-api",    "baseUrl": "https://api.company.com", "headers": { "Authorization": "Bearer xxxx" } }
  ],
  "memory": [
    { "key": "team", "value": "Platform Engineering" }
  ]
}

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.

Built-in Tools

Memory — persists across sessions

Tool	Description
`memory_set`	Store a key-value pair
`memory_get`	Retrieve a stored value
`memory_list`	List all stored pairs
`memory_delete`	Remove a stored key

Action Log — every connector call recorded

Tool	Description
`log_list`	List recent connector calls (supports `limit`)
`log_clear`	Clear all log entries

Run AI Agents — no terminal required

Execute OE Runtime SKILL.md agents or YAML agents directly from Claude Code, Cursor, or any MCP client:

Tool	Description
`run_agent`	Run an agent by file path — auto skills execute immediately; manual skills pause with `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`

approve_chain parameters:

Parameter	Description
`chain_id`	From `pending_skill_chain.chain_id` in a `run_agent` response
`approved`	`true` to run the skill (default), `false` to skip and continue
`abort`	`true` to stop the entire pipeline immediately

Example: Tell Claude Code — "Run the OE Skills orchestrator. Approve the hello-world skill, skip email, abort if anything asks for credentials." Claude handles the full approval loop using run_agent and approve_chain.

Transport Modes

Mode	Flag	Best for
stdio	`--stdio`	Claude Code, Cursor, Windsurf, Codex, Claude Desktop
HTTP	`--serve --port 4040`	Cloud deployments, team sharing

Supported Connectors

postgresql · mysql · mongodb · redis · elasticsearch · s3 · gdrive · github · slack · gmail · smtp · ssh · filesystem · rest-api · graphql · jira · hubspot · kafka · mqtt · notion · confluence · salesforce · telegram · and 20+ more

Part of Open Enthrium


⚡ 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