PostgreSQL
Connect PostgreSQL to GateRook step by step with screenshots. Configure MCP access, run read queries, approve an UPDATE and inspect the full Activity audit trail.
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Databases, logs, APIs, cloud services, and MCP servers. Find your connection and follow its guide, from setup to the first tool call.
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Built-in connectors, supported variants, log backends, and external MCP servers. Open any guide for setup, available tools, access boundaries, and examples.
19 of 19 integration guides
Connect PostgreSQL to GateRook step by step with screenshots. Configure MCP access, run read queries, approve an UPDATE and inspect the full Activity audit trail.
Connect MySQL to GateRook step by step with screenshots. Configure MCP access, run read queries, approve an UPDATE and follow every call in Activity.
Connect MariaDB to GateRook step by step with Docker and screenshots. Read SQL through an MCP endpoint, approve an update, and trace every call in Activity.
Connect Oracle Database 19c and later to AI through MCP. Inspect schemas, run bounded read queries, protect credentials, and review SQL changes before execution.
Connect Microsoft SQL Server to AI through MCP. Select databases, inspect schemas, run bounded SELECT queries and review SQL changes with local access controls.
Connect MongoDB to AI through MCP with a step-by-step Docker tutorial. Query documents, approve updates, and trace every call in GateRook Activity.
Connect Redis to GateRook with a Docker walkthrough. Scope keys, approve a read through MCP, and inspect real request results and approval history in Activity.
Connect OpenSearch to AI through GateRook. Query documents, mappings and aggregations with local credentials, and review administrative REST requests before they run.
Connect Elasticsearch to AI through GateRook. Discover indices, search documents and inspect mappings with local credentials and approval for administrative requests.
Connect Loki to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
Connect AWS CloudWatch Logs to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
Connect Google Cloud Logging to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
Read and search selected remote log files through GateRook MCP tools. Verify the SSH host, choose exact files, and inspect bounded results in Activity.
Connect a REST or HTTP API to AI through MCP. Scope base URLs and paths, keep API keys in GateRook, and approve requests that change data.
Connect Claude, Codex or Cursor to AWS through GateRook. Inspect resources and CloudWatch metrics with scoped regions, local credentials and read-only MCP tools.
Connect AI to Google Cloud inventory, metrics and logs through GateRook. Inspect resources, query monitoring and enable scoped log tools with local credentials.
Connect AI to Kubernetes with GateRook. Inspect pods, events and logs over MCP, restrict namespaces, and review rollout restarts or manifest changes before execution.
Use SSH from AI through GateRook MCP runbooks. Connect with keys, passwords or Vault SSH CA, verify host keys, and approve commands that change your servers.
Put an existing stdio or Streamable HTTP MCP server behind GateRook. Review discovered tools, configure secret injection, choose endpoint modes and audit calls.
Beyond built-in connections
Bring its tools into the same gateway.
Connect a local stdio or remote Streamable HTTP server. GateRook can discover servers through the Official MCP Registry, then lets you review the connection details and decide which tools to expose.
Registry discovery is not a security certification. Review the server and its permissions before connecting; you control its endpoint policies and approvals.
Your infrastructure, on your terms
Start with one connection. Choose what your AI can do.