iFlytek Spark Agent
Invoke task chains on the iFlytek SparkAgent Platform.
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:
# 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:
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
{
"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
{
"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"
}
}
}
}
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