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Oci MCP Server

@rohit1223

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

rohit1223

Oci MCP Server について

MCP server for OCI resources

Oci MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "oci-mcp-server": {
      "command": "uv",
      "args": [
        "self-update"
      ]
    }
  }
}

Oci MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

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.

2

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/`.

3

What tools does the server expose?

Two tools: `list_gateways_tool(compartment_id)` and `get_gateway_tool(gateway_id)`.

4

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`.

5

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.

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