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å ±ã䜿çšããããšãéèŠã§ãã aws-cost-explorer-mcp ãµãŒããŒããã«ãããŸãã git clone https://github.com/aws-samples/sample-cloud-spend-mcp-server cd aws-cost-explorer-mcp-server/ docker build -t aws-cost-explorer-mcp ããã§ãMCP ãµãŒããŒãåŒã³åºã㊠AWS ã®æ¯åºã«é¢ããã€ã³ãµã€ããæäŸãããšãŒãžã§ã³ããæ§ç¯ããæºåãæŽããŸããã python main.py ã§ãšãŒãžã§ã³ããå®è¡ããŸããåŠçãããã¯ãšãªã¯æ¬¡ã®éãã§ã: What is Amazon Bedrock? What are the AWS services where I spent most in the last 7 days? Be precise and create a bar graph ãšãŒãžã§ã³ã㯠2 ã€ã® MCP ãµãŒããŒã«æ¥ç¶ããããããã®ããŒã«ã«ã¢ã¯ã»ã¹ããŸãããã®åŸããšãŒãžã§ã³ãã¯ç¹å®ã®ããŒã«ãé çªã«äœ¿çšããèšç»ãç«ãŠå®è¡ããŸã: ã³ãŒãã€ã³ã¿ãŒããªã¿ãŒã䜿çšããŠã³ã¹ãååžã瀺ããã£ãŒããçæ AWS Cost Explorer MCP ãµãŒããŒã䜿çšããŠæ¯åºãã¿ãŒã³ãåæ Perplexity MCP ãµãŒããŒã䜿çšã㊠Amazon Bedrock ã«é¢ããå
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å ±ãååŸ Connected to server with tools: ['get_bedrock_daily_usage_stats', 'get_bedrock_hourly_usage_stats', 'get_ec2_spend_last_day', 'get_detailed_breakdown_by_day'] Connected to server with tools: ['perplexity_ask'] Thought: Let me break this down into parts: 1. First, I'll ask about Amazon Bedrock using Perplexity 2. Then I'll get the cost breakdown for the last 7 days 3. Finally, I'll create a visualization of the spending data Tool use: perplexity_ask with these inputs: messages[[{role=user, content=What is Amazon Bedrock? Provide a concise explanation.}] (array)] Tool use: get_detailed_breakdown_by_day with these inputs: days[7 (integer)] Thought: Let me analyze the data and create a visualization of the top services by cost. I'll use Python to process the data and create a bar chart. Code interpreter: Generated code ``` import pandas as pd import matplotlib.pyplot as plt ... ``` Code interpreter output: aws_costs.png (image/png) Directory output created successfully Thought: Now I can provide a comprehensive answer about Amazon Bedrock and the cost analysis. Amazon Bedrock is a fully managed service that provides access to foundation models (FMs) from leading AI companies through a single API. Based on the cost analysis of the last 7 days, your top spending services were: 1. Amazon Neptune: $24 2. Amazon SageMaker: $567 3. EC2 (Compute + Other): $454 4. Amazon OpenSearch Service: $34 5. Amazon Bedrock: $1235 6. Amazon Q: $178 å®è£
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èŠãªããŒã¿ã«ã¢ã¯ã»ã¹ããããã®ãã©ã¡ãŒã¿ãå«ãŸããŠããŸãã # Cost server parameters cost_server_params = StdioServerParameters( command="/usr/local/bin/docker", args=[ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "-e", "BEDROCK_LOG_GROUP_NAME", "-e", "stdio", "aws-cost-explorer-mcp:latest", ], env={ "AWS_ACCESS_KEY_ID": AWS_ACCESS_KEY_ID, "AWS_SECRET_ACCESS_KEY": AWS_SECRET_ACCESS_KEY, "AWS_REGION": AWS_REGION, "BEDROCK_LOG_GROUP_NAME": BEDROCK_LOG_GROUP_NAME, }, ) # Perplexity server parameters perplexity_server_params = StdioServerParameters( command="/usr/local/bin/docker", args=["run", "-i", "--rm", "-e", "PERPLEXITY_API_KEY", "mcp/perplexity-ask"], env={"PERPLEXITY_API_KEY": PERPLEXITY_API_KEY}, ) main.py ã§ã¯ãMCP ãµãŒããŒãã©ã¡ãŒã¿ãã€ã³ããŒããã2 ã€ã® MCP ã¯ã©ã€ã¢ã³ãã®äœæã«äœ¿çšããŸãã cost_explorer_mcp_client = await MCPStdio.create(server_params=cost_server_params) perplexity_mcp_client = await MCPStdio.create(server_params=perplexity_server_params) ãšãŒãžã§ã³ãã®ã¢ã¯ã·ã§ã³ã°ã«ãŒãã®èšå® : main.py ã¯ãMCP ã¯ã©ã€ã¢ã³ããåäžã®ã€ã³ã¿ãŒãã§ãŒã¹ã«ãŸãšããã¢ã¯ã·ã§ã³ã°ã«ãŒããäœæãããšãŒãžã§ã³ããã¢ã¯ã»ã¹ã§ããããã«ããŸããããã«ããããšãŒãžã§ã³ãã¯åŠçã®åãæž¡ããéããŠãå¿
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