oci-mcp-server
@rohit1223
About oci-mcp-server
MCP server for OCI resources
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"oci-mcp-server": {
"command": "uv",
"args": [
"self-update"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is oci-mcp-server?
oci-mcp-server is a Python MCP (Model Context Protocol) server for Oracle Cloud Infrastructure (OCI) API Gateway management. It provides tools to list and retrieve details of API Gateways, and supports both programmatic clients and LLM-powered agents (via stdio transport, Cursor, and LlamaIndex/Ollama).
How to use oci-mcp-server?
Install Python 3.11, the uv package manager, and create a virtual environment. Install dependencies from pyproject.toml. Configure OCI compartment, gateway OCIDs, region, and profile in src/config.py, and ensure valid OCI session authentication files exist. Run python src/server.py to start the server via stdio transport. For Cursor integration, edit ~/.cursor/mcp.json using the template in src/mcp_template.json. Optionally run the programmatic client (python src/client_stdio.py) or the WIP LlamaIndex/Ollama client (python src/client_llama_react.py).
Key features of oci-mcp-server
- List API Gateways in a given OCI compartment.
- Get details for a specific API Gateway.
- MCP stdio transport for easy integration.
- LlamaIndex/Ollama client for natural language interaction.
- Programmatic client for testing and debugging.
Use cases of oci-mcp-server
- Manage OCI API Gateways using an AI-powered code editor (Cursor).
- Automate API Gateway inventory and monitoring tasks.
- Build custom automation scripts with programmatic access.
- Experiment with self-hosted LLM agents for OCI resource management.
FAQ from oci-mcp-server
What is oci-mcp-server?
oci-mcp-server is a Python MCP server that exposes tools to list and retrieve details of OCI API Gateways, usable from both traditional code and AI agents.
What are the prerequisites?
Python 3.11, the uv package manager, an OCI account with API Gateway access, and OCI session authentication files located in ~/.oci/sessions/DEFAULT/.
What tools does the server expose?
Two tools: list_gateways_tool(compartment_id) and get_gateway_tool(gateway_id).
How do I integrate with Cursor?
Update the mcp.json file with absolute paths to your Python executable and server.py, following the example in src/mcp_template.json.
Is the LlamaIndex/Ollama client fully functional?
No, it is a work in progress (WIP). Ensure Ollama is running locally with the llama3.2 model before using it.
More Other MCP servers
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

EverArt
modelcontextprotocolModel Context Protocol Servers
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Comments