forked from ci4s/ai4mats-mcp-tools
31 lines
1010 B
Python
31 lines
1010 B
Python
import uvicorn
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from starlette.applications import Starlette
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from starlette.routing import Mount
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from starlette.middleware.cors import CORSMiddleware
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from tools.bayesian_mcp_server import mcp as bayesian_mcp
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from tools.app_deploy_mcp_server import mcp as app_deploy_mcp
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from tools.cvd_chat_recommender_mcp_server import mcp as cvd_chat_mcp
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from tools.cvd_param_recommender_mcp_server import mcp as cvd_param_mcp
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from tools.tem_analysis_mcp_server import mcp as tem_mcp
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# FastMCP 内部就是 Starlette app
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routes = [
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Mount("/mcp/bayesian", bayesian_mcp.sse_app()),
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Mount("/mcp/app-deploy", app_deploy_mcp.sse_app()),
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Mount("/mcp/cvd-chat", cvd_chat_mcp.sse_app()),
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Mount("/mcp/cvd-param", cvd_param_mcp.sse_app()),
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Mount("/mcp/tem-analysis", tem_mcp.sse_app()),
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]
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app = Starlette(routes=routes)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=8000) |