ifly-spark-agent-mcp

# ifly-spark-agent-mcp This is a simple example of using MCP Server to invoke the task chain of the iFlytek SparkAgent Platform. ## Usage ### Local debugging Start the server using either stdio (default) or SSE transport: ```bash # Using stdio transport (default) uv run ifly-spark-agent-mcp # Using SSE transport on custom port uv run ifly-spark-agent-mcp --transport sse --port 8000 ``` By default, the server exposes a tool named "upload_file" that accepts one required argument: - `file`: The path of the uploaded file ### MCP Client Example Using the MCP client, you can use the tool like this using the STDIO transport: ```python import asyncio from mcp.client.session import ClientSession from mcp.client.stdio import StdioServerParameters, stdio_client async def main(): async with stdio_client( StdioServerParameters(command="uv", args=["run", "ifly-spark-agent-mcp"]) ) as (read, write): async with ClientSession(read, write) as session: await session.initialize() # List available tools tools = await session.list_tools() print(tools) # Call the upload_file tool result = await session.call_tool("upload_file", {"file": "/path/to/file"}) print(result) asyncio.run(main()) ``` ### Usage with MCP client #### Use on Claude To add a persistent client, add the following to your `claude_desktop_config.json` or `mcp.json` file: ##### 1. Use uv ```json { "mcpServers": { "ifly-spark-agent-mcp": { "command": "uv", "args": [ "--directory", "/path/to/ifly-spark-agent-mcp", "run", "ifly-spark-agent-mcp" ], "env": { "IFLY_SPARK_AGENT_BASE_URL": "xxxx", "IFLY_SPARK_AGENT_APP_ID": "xxxx", "IFLY_SPARK_AGENT_APP_SECRET": "xxxx" } } } } ``` ##### 2. Use uvx with github repository ```json { "mcpServers": { "ifly-spark-agent-mcp": { "command": "uvx", "args": [ "--from", "git+https://github.com/iflytek/ifly-spark-agent-mcp", "ifly-spark-agent-mcp" ], "env": { "IFLY_SPARK_AGENT_BASE_URL": "xxxx", "IFLY_SPARK_AGENT_APP_ID": "xxxx", "IFLY_SPARK_AGENT_APP_SECRET": "xxxx" } } } } ```