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# Instagram MCP Server This MCP (Model Content Protocol) server provides access to Instagram API functionality through STDIO transport mode with FastMCP. ## Features - FastMCP-based server with decorator pattern - Automatic tool registration via @mcp.tool() decorators - Type-safe parameter handling - Comprehensive error handling and logging - Easy configuration through environment variables ## Prerequisites - Python 3.10 or later - pip package manager ## Installation 1. Install dependencies: ```bash pip install -r requirements.txt ``` 2. Configure environment variables: ```bash export API_BASE_URL="https://your-api-base-url" export BEARER_TOKEN="your-bearer-token" # Alternative authentication options (use only one): # export API_KEY="your-api-key" # export BASIC_AUTH="your-basic-auth-credentials" ``` ## Running the MCP Server ### STDIO Mode (Default) The server runs in STDIO mode by default, which is perfect for direct integration with AI assistants like Cursor: ```bash python main.py ``` ### Configuration for Cursor/Claude Desktop Add this to your MCP configuration file (e.g., `~/Library/Application Support/Cursor/User/globalStorage/@anthropic/mcp-server-registry/mcp.json`): ```json { "mcpServers": { "instagram-mcp-server": { "command": "python", "args": ["/path/to/your/project/main.py"], "env": { "API_BASE_URL": "https://your-api-base-url", "BEARER_TOKEN": "your-bearer-token" } } } } ``` ## Environment Variables ### Required - `API_BASE_URL`: Base URL for the API endpoint ### Authentication (use one of the following) - `BEARER_TOKEN`: Bearer token for OAuth2/Bearer authentication - `API_KEY`: API key for API key authentication - `BASIC_AUTH`: Basic authentication credentials (base64 encoded) **Note**: At least one authentication variable should be provided unless the API explicitly doesn't require authentication. ## Development For development with auto-reload: ```bash # Install development dependencies pip install -r requirements.txt # Run with Python python main.py ``` ## Project Structure ``` . ├── main.py # Entry point with FastMCP server ├── config.py # Configuration management ├── models.py # Pydantic data models ├── tools/ # Auto-generated tools organized by category │ ├── __init__.py │ └── [category]/ # Tools grouped by API endpoint category │ ├── __init__.py │ └── *.py # Individual tool implementations ├── requirements.txt # Python dependencies └── README.md # This file ``` ## How It Works This MCP server is built using FastMCP with a decorator-based architecture: 1. **FastMCP Server**: Creates an MCP server instance in `main.py` 2. **Tool Decorators**: Each tool is decorated with `@mcp.tool()` for automatic registration 3. **Auto-Import**: Tools are automatically registered when their modules are imported 4. **Type Safety**: Uses Python type hints for parameter validation 5. **Error Handling**: Comprehensive error handling with JSON error responses ### Example Tool ```python from main import mcp @mcp.tool() def get_users(search: str = None, page: int = None) -> str: """ Get users from the API. Args: search: Search query for filtering users page: Page number for pagination Returns: JSON string with user data """ # Tool implementation... return json.dumps(result, indent=2) ``` ## Authentication Methods The server supports multiple authentication methods: ### Bearer Token (OAuth2) ```bash export BEARER_TOKEN="your-bearer-token" ``` ### API Key ```bash export API_KEY="your-api-key" ``` ### Basic Authentication ```bash export BASIC_AUTH="base64-encoded-credentials" ``` ## Logging The server includes comprehensive logging to stderr: - INFO level: General operations, tool registration - WARNING level: Skipped operations, missing parameters - ERROR level: API errors, request failures View logs in your MCP client's console or stderr output. ## Troubleshooting ### "Missing required parameter" errors - Check that all required parameters are provided - Verify parameter names match the tool definition ### Authentication errors - Ensure the correct authentication environment variable is set - Verify your credentials are valid and not expired - Check that the API_BASE_URL is correct ### Import errors - Run `pip install -r requirements.txt` to ensure all dependencies are installed - Check that you're using Python 3.10 or later ### Tool not found - Verify the tool name matches what's shown in your MCP client - Check the tools directory structure - Ensure all `__init__.py` files are present ## Generated Tools This server was automatically generated from an OpenAPI specification. Each API endpoint is exposed as an MCP tool with: - Automatic parameter extraction and validation - Type-safe parameter handling - Comprehensive error handling - JSON response formatting Use your MCP client's tool listing feature to see all available tools. ## Contributing This is a generated MCP server. To modify tool behavior: 1. Edit the tool implementation in `tools/[category]/[tool_name].py` 2. Maintain the `@mcp.tool()` decorator for registration 3. Keep the function signature for parameter validation 4. Test changes by running the server locally ## License This generated MCP server follows the same license as the generator tool.

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