# GateRook

> Connect databases, logs, APIs and cloud services to your AI through MCP. GateRook keeps access scoped and changes under your control. In active development.

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## Overview

- [GateRook · Connect your stack to AI](https://msrv.dev/): Connect databases, logs, APIs and cloud services to your AI through MCP. GateRook keeps access scoped and changes under your control. In active development.
- [MCP integrations for your databases, logs & cloud | GateRook](https://msrv.dev/integrations/): Explore GateRook integrations for databases, logs, APIs, cloud services, Kubernetes, SSH and external MCP servers. Find supported connections and setup guides.
- [MCP integration guides: databases, cloud & APIs | GateRook Docs](https://msrv.dev/docs/): Connect AI to MySQL, PostgreSQL, Redis, MongoDB, Kubernetes, cloud services and logs. Explore GateRook MCP connector setup guides and real tool examples.
- [Connect your AI to infrastructure with MCP | GateRook setup](https://msrv.dev/docs/getting-started/): Learn how GateRook works: configure connectors, protect credentials, create MCP endpoints, connect your AI client, approve changes and inspect activity.

## Integration guides

- [AWS MCP connector: connect AI to AWS resources and CloudWatch | GateRook](https://msrv.dev/docs/aws/): Connect Claude, Codex or Cursor to AWS through GateRook. Inspect resources and CloudWatch metrics with scoped regions, local credentials and read-only MCP tools.
- [Google Cloud Logging MCP connector for AI | GateRook](https://msrv.dev/docs/cloud-logging/): Connect Google Cloud Logging to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
- [AWS CloudWatch Logs MCP connector for AI | GateRook](https://msrv.dev/docs/cloudwatch/): Connect AWS CloudWatch Logs to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
- [Elasticsearch MCP connector: query data with controlled API access | GateRook](https://msrv.dev/docs/elasticsearch/): Connect Elasticsearch to AI through GateRook. Discover indices, search documents and inspect mappings with local credentials and approval for administrative requests.
- [Google Cloud MCP connector: inventory, metrics and logs for AI | GateRook](https://msrv.dev/docs/gcp/): Connect AI to Google Cloud inventory, metrics and logs through GateRook. Inspect resources, query monitoring and enable scoped log tools with local credentials.
- [HTTP API MCP connector for AI | GateRook](https://msrv.dev/docs/http/): 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.
- [Kubernetes MCP connector: connect AI to pods, logs and rollouts | GateRook](https://msrv.dev/docs/kubernetes/): Connect AI to Kubernetes with GateRook. Inspect pods, events and logs over MCP, restrict namespaces, and review rollout restarts or manifest changes before execution.
- [Loki MCP connector for AI | GateRook](https://msrv.dev/docs/loki/): Connect Loki to AI through MCP. Search and follow scoped logs with GateRook, using native queries, bounded time ranges and private credentials.
- [Connect MariaDB to AI: setup, approvals and Activity | GateRook](https://msrv.dev/docs/mariadb/): 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.
- [MCP server gateway: connect existing MCP tools to AI with approvals | GateRook](https://msrv.dev/docs/mcp-server/): Put an existing stdio or Streamable HTTP MCP server behind GateRook. Review discovered tools, configure secret injection, choose endpoint modes and audit calls.
- [MongoDB MCP connector for AI | GateRook](https://msrv.dev/docs/mongodb/): Connect MongoDB to AI through MCP with a step-by-step Docker tutorial. Query documents, approve updates, and trace every call in GateRook Activity.
- [MySQL MCP connector for AI | GateRook](https://msrv.dev/docs/mysql/): Connect MySQL to GateRook step by step with screenshots. Configure MCP access, run read queries, approve an UPDATE and follow every call in Activity.
- [OpenSearch MCP connector: query indices and review API changes | GateRook](https://msrv.dev/docs/opensearch/): Connect OpenSearch to AI through GateRook. Query documents, mappings and aggregations with local credentials, and review administrative REST requests before they run.
- [Oracle Database MCP connector for AI | GateRook](https://msrv.dev/docs/oracle/): Connect Oracle Database 19c and later to AI through MCP. Inspect schemas, run bounded read queries, protect credentials, and review SQL changes before execution.
- [PostgreSQL MCP connector for AI | GateRook](https://msrv.dev/docs/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.
- [Redis MCP connector for AI | GateRook](https://msrv.dev/docs/redis/): 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.
- [SQL Server MCP connector for AI | GateRook](https://msrv.dev/docs/sql-server/): Connect Microsoft SQL Server to AI through MCP. Select databases, inspect schemas, run bounded SELECT queries and review SQL changes with local access controls.
- [SSH log files for AI: selected files, search and access | GateRook](https://msrv.dev/docs/ssh-logs/): Read and search selected remote log files through GateRook MCP tools. Verify the SSH host, choose exact files, and inspect bounded results in Activity.
- [SSH MCP connector: connect AI to servers with reviewed runbooks | GateRook](https://msrv.dev/docs/ssh/): 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.

## Other pages

- [Privacy Policy | GateRook](https://msrv.dev/privacy/): How GateRook handles website visits, optional analytics, local application data and connections to third-party services, and how to exercise your privacy choices.
- [Terms of Use | GateRook](https://msrv.dev/terms/): Terms for using the GateRook website, with information about the open-source software license, authorized infrastructure access and third-party services.