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.
@rohit1223
Basic information
MCP server for OCI resources
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"oci-mcp-server": {
"command": "uv",
"args": [
"self-update"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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).
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).
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.
Python 3.11, the `uv` package manager, an OCI account with API Gateway access, and OCI session authentication files located in `~/.oci/sessions/DEFAULT/`.
Two tools: `list_gateways_tool(compartment_id)` and `get_gateway_tool(gateway_id)`.
Update the `mcp.json` file with absolute paths to your Python executable and `server.py`, following the example in `src/mcp_template.json`.
No, it is a work in progress (WIP). Ensure Ollama is running locally with the `llama3.2` model before using it.
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