SentinelX Core

MCP/OAuth bridge for SentinelX Core. Exposes your server agent as MCP tools with OIDC token validation.

SentinelX Core MCP sits between MCP clients (Claude, ChatGPT, Cursor, or any MCP-compatible agent) and a running SentinelX Core instance. It validates incoming OAuth Bearer tokens against a JWKS endpoint, then forwards tool calls to the upstream agent.

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Architecture

Claude / ChatGPT / Cursor / any MCP client
        │
        │  MCP  +  OAuth Bearer token
        ▼
  sentinelx-core-mcp   (public, port 8098)
        │  validates token via OIDC/JWKS
        │  HTTP  +  internal Bearer token
        ▼
  sentinelx-core        (local only, port 8091)
        │
        └─ command allowlist, structured editing, uploads, services

Two separate auth layers:

Layer	What validates it	Token type
External (MCP)	sentinelx-core-mcp via OIDC/JWKS	OAuth access token (from your identity provider)
Internal (agent)	sentinelx-core	Static bearer token (SENTINELX_TOKEN)

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Exposed MCP tools

Tool	What it does	Required scope
ping	Health check	public
sentinel_state	Agent runtime state	sentinelx:state
sentinel_exec	Execute an allowed command	sentinelx:exec
sentinel_service	Service action (start/stop/restart/reload/status)	sentinelx:service
sentinel_restart	Restart a registered service	sentinelx:restart
sentinel_edit	Structured file edit (no shell quoting)	sentinelx:edit
sentinel_edit_upload_init	Initialize large edit upload	sentinelx:edit
sentinel_edit_upload_file	Upload role file for editing	sentinelx:edit
sentinel_edit_upload_complete	Finalize large edit	sentinelx:edit
sentinel_upload_file	Upload a file (URL or base64)	sentinelx:upload
sentinel_upload_init	Initialize chunked upload	sentinelx:upload
sentinel_upload_chunk	Upload one chunk	sentinelx:upload
sentinel_upload_complete	Finalize chunked upload	sentinelx:upload
sentinel_script_run	Run a temporary bash/python3 script	sentinelx:script
sentinel_capabilities	Allowed commands, services, locations, playbooks	sentinelx:capabilities
sentinel_help	Embedded help from the agent	sentinelx:capabilities

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Requirements

• A running SentinelX Core instance
• An OIDC-compatible identity provider (Keycloak, Auth0, Authentik, Zitadel, or any provider with a JWKS endpoint)
• Python 3.11+

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Quick start

Install on a server

git clone https://github.com/pensados/sentinelx-core-mcp.git
cd sentinelx-core-mcp
sudo bash install.sh

Then configure:

sudo nano /etc/sentinelx-core-mcp/sentinelx-core-mcp.env

Minimum required:

MCP_PORT=8098
SENTINELX_URL=http://127.0.0.1:8091
SENTINELX_TOKEN=your_internal_agent_token

OIDC_ISSUER=https://auth.example.com/realms/sentinelx
OIDC_JWKS_URI=https://auth.example.com/realms/sentinelx/protocol/openid-connect/certs
OIDC_EXPECTED_AUDIENCE=

RESOURCE_URL=https://sentinelx.example.com
AUTH_DEBUG=false

Restart and verify:

sudo systemctl restart sentinelx-core-mcp
sudo systemctl status sentinelx-core-mcp
sudo journalctl -u sentinelx-core-mcp -n 50 --no-pager

Local development

python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
./run.sh

Local defaults:

• MCP port: 8099
• Upstream SentinelX Core: http://127.0.0.1:8092

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Installed paths

Path	Content
/opt/sentinelx-core-mcp	Application code
/etc/sentinelx-core-mcp/sentinelx-core-mcp.env	Environment configuration
/var/log/sentinelx-mcp	Logs
sentinelx-core-mcp.service	systemd unit

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Connecting a reverse proxy

The MCP endpoint at /mcp should be exposed via HTTPS. Example Nginx config:

server {
    listen 443 ssl http2;
    server_name sentinelx.example.com;

    ssl_certificate     /path/to/fullchain.pem;
    ssl_certificate_key /path/to/privkey.pem;

    location = /mcp {
        proxy_pass http://127.0.0.1:8098/mcp;
        proxy_http_version 1.1;
        proxy_set_header Host $host;
        proxy_set_header Authorization $http_authorization;
        proxy_buffering off;
        proxy_request_buffering off;
        proxy_read_timeout 3600s;
        add_header Cache-Control "no-cache";
    }
}

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Connecting to Claude

Add the MCP server in Claude's settings:

https://sentinelx.example.com/mcp

Claude will prompt for OAuth login on first use. After authorization it will have access to all tools your token's scopes allow.

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Connecting to ChatGPT

Register the MCP server URL as a GPT Action or in your ChatGPT connector configuration. The OAuth flow works with any OIDC provider that supports the Authorization Code flow.

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MCP smoke test (curl)

The MCP endpoint uses JSON-RPC over HTTP. A minimal session:

1. Initialize

SESSION=$(curl -si -X POST https://sentinelx.example.com/mcp \
  -H "Accept: application/json, text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc":"2.0","id":"1","method":"initialize",
    "params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"0.1"}}
  }' | grep -i mcp-session-id | awk '{print $2}' | tr -d '\r')

2. Notify initialized

curl -s -X POST https://sentinelx.example.com/mcp \
  -H "Content-Type: application/json" \
  -H "mcp-session-id: $SESSION" \
  -d '{"jsonrpc":"2.0","method":"notifications/initialized"}'

3. Call ping (public)

curl -s -X POST https://sentinelx.example.com/mcp \
  -H "Content-Type: application/json" \
  -H "mcp-session-id: $SESSION" \
  -d '{"jsonrpc":"2.0","id":"2","method":"tools/call","params":{"name":"ping","arguments":{}}}' \
  | sed -n 's/^data: //p' | jq

4. Call a protected tool

curl -s -X POST https://sentinelx.example.com/mcp \
  -H "Content-Type: application/json" \
  -H "mcp-session-id: $SESSION" \
  -H "Authorization: Bearer YOUR_OAUTH_ACCESS_TOKEN" \
  -d '{"jsonrpc":"2.0","id":"3","method":"tools/call","params":{"name":"sentinel_exec","arguments":{"cmd":"uptime"}}}' \
  | sed -n 's/^data: //p' | jq

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Identity provider setup

Any OIDC-compatible provider works: Keycloak, Auth0, Authentik, Zitadel, or your own. You need:

1. A client configured for Authorization Code flow (interactive) or Client Credentials (machine-to-machine)
2. Custom scopes matching the tools you want to expose (sentinelx:exec, sentinelx:edit, etc.)
3. The JWKS URI of your provider
4. For Claude and ChatGPT: the correct redirect URIs registered in the client

Set these in the env file:

OIDC_ISSUER=https://your-provider.example.com/realms/your-realm
OIDC_JWKS_URI=https://your-provider.example.com/realms/your-realm/protocol/openid-connect/certs
OIDC_EXPECTED_AUDIENCE=   # set to your client ID, or leave empty to skip audience validation

About OIDC_EXPECTED_AUDIENCE

• Set to your client ID if your provider includes it in the aud claim (common with confidential clients)
• Leave empty if unsure — the server skips audience validation
• If tokens are rejected, decode the token (echo $TOKEN | cut -d. -f2 | base64 -d | jq) and check the aud claim

Connecting Claude

Add the MCP server in Claude's settings:

https://sentinelx.example.com/mcp

Claude will redirect to your identity provider on first use. Make sure:

• The redirect URI https://claude.ai/api/mcp/auth_callback is registered in your OIDC client
• Your server exposes /.well-known/oauth-protected-resource with the correct authorization_servers value

Connecting ChatGPT

Register the MCP URL as a GPT Action. Add https://chatgpt.com/aip/g-*/oauth/callback to your client's redirect URIs.

For a complete end-to-end walkthrough with Keycloak — including token acquisition, Claude setup, smoke tests and troubleshooting — see docs/keycloak-example.md.

Not running Keycloak? See docs/oidc-alternatives.md for quickstart guides with Authentik, Zitadel and Zitadel Cloud.

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Troubleshooting

Tools fail with Missing Authorization header The MCP client is not sending the OAuth token. Verify the authorization flow completed successfully.

Invalid access token Check OIDC_ISSUER and OIDC_JWKS_URI match your identity provider exactly. Enable AUTH_DEBUG=true temporarily to see token validation details in the logs.

Missing required scope The token does not include the scope required by that tool. Add the scope to your OIDC client configuration and re-authorize.

ping works but all other tools fail Usually an auth issue. ping is public; every other tool requires a valid token with the right scope.

MCP starts but cannot reach SentinelX Core Check SENTINELX_URL points to a running core instance and SENTINELX_TOKEN matches the core's SENTINEL_TOKEN.

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Security notes

• Keep the MCP service behind HTTPS and a reverse proxy
• Use a dedicated OIDC client with only the scopes you need
• Rotate SENTINELX_TOKEN and OIDC client credentials periodically
• Review the exec audit log (/var/log/sentinelx/exec.log) regularly
• AUTH_DEBUG=true logs token claims — disable in production

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Related

• sentinelx-core — The underlying HTTP agent: command execution, structured editing, uploads, and service management.

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License

MIT