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"
}
}
}
}
Recommend MCP Servers 💡
dida-mcp-server
An MCP server for interacting with TickTick/Dida365 task management service, providing tools to manage tasks, projects, and tags.
ragie-mcp-server
Ragie is a fully managed RAG-as-a-Service platform offering advanced multimodal RAG capabilities, including structured chunking, multi-layered indexing, and LLM-aware optimizations, designed for developers to build production-grade generative AI applications.
a2a-mcp-server
A MCP server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents.
@burtthecoder/mcp-shodan
MCP server for Shodan — search internet-connected devices, IP reconnaissance, DNS lookups, and CVE/CPE vulnerability intelligence. Works with Claude Code, Codex, Gemini CLI, and Claude Desktop.

apify/rag-web-browser
A web browser for AI agents and RAG pipelines that queries Google Search, scrapes web pages, and returns content as Markdown for LLM processing, supporting Model Context Protocol (MCP) via SSE.
mcp-server-microsoft365-filesearch
An MCP server providing advanced file search capabilities within Microsoft 365 (SharePoint & OneDrive)