Oracle MCP Server
Oracle Cloud Infrastructure workflows via reference MCP server implementations.
Data last scanned today · Reviewed today
Overview
Oracle MCP Server provides a collection of reference implementations designed to bridge the gap between AI models and Oracle Cloud Infrastructure. By offering a polyglot architecture, it demonstrates how different programming languages can interface with cloud resources through the Model Context Protocol, serving as a primary resource for developers building and exploring Oracle-integrated AI workflows. The repository includes specialized servers such as the OCI Cloud MCP server, which leverages the official OCI Python SDK, and the OCI API MCP server for CLI-backed operations. These tools allow users to interact with various OCI services directly from MCP-compatible clients, provided they have the necessary OCI account credentials configured.
Our verdict
With a security score of 45/100, this project is classified as high-risk. The score reflects that the project is not editorially reviewed and lacks finalized security audits for authentication methods and read-only tool modes. As the README explicitly states these are proof-of-concept reference implementations not intended for production, developers should use this repository only for local prototyping and learning in non-sensitive environments.
- Reference implementations for OCI workflows
- Zero direct dependencies
- Active development with daily commits
- Not intended for production use
- Security-critical authentication methods not yet reviewed
- Read-only mode support lacks editorial review
Tools
| Tool | Description | Risk |
|---|---|---|
| get_oci_command_help | Returns helpful instructions for running an OCI CLI command. | low |
| run_oci_command | Runs an OCI CLI command. This tool allows you to run OCI CLI commands on the user's behalf. | high |
| get_oci_commands | Returns helpful information on various OCI services and related commands. | low |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| ChatGPT | ||||
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf |
Frequently asked questions
›Is this MCP server repository suitable for production environments?
No, these servers are provided specifically as reference implementations for exploration, prototyping, and learning, and are not intended for production use.
›What is the recommended server for general Oracle Cloud Infrastructure (OCI) workflows?
The oci-cloud-mcp-server is recommended as the general-purpose entry point because it utilizes the official OCI Python SDK directly without requiring OCI CLI subprocess calls.
›When should I choose the oci-api-mcp-server instead of the oci-cloud-mcp-server?
You should use the oci-api-mcp-server when you specifically require tools for discovering and executing OCI CLI commands.
›What are the core prerequisites for using these servers?
You need Git, the uv package manager, and a supported OS, which may vary by server. Additionally, servers interacting with Oracle Cloud require configured OCI credentials.
›How do I configure the transport type for HTTP-based OCI servers?
The transport type depends on your specific MCP client requirements; some clients require the type to be set as 'http', while others like Cline expect 'streamableHttp'.
›Can these servers be run using containers?
Yes, some servers support running via podman, and you can build container images using the provided makefile command, such as SUBDIRS=src/oci-api-mcp-server make containerize.
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