参考资料
在vscode中安装cline后,为了避免高额模型费用和兼容性问题,通过litellm封装了自部署模型,并配置在cline中
http://litellm.example.com:4000
TLDR
日常万能配置如下
json
{
"mcpServers": {
"awslabs.aws-api-mcp-server": {
"disabled": true,
"timeout": 60,
"type": "stdio",
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"AWS_REGION=cn-north-1",
"--volume",
"/home/ec2-user/.aws:/app/.aws",
"public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:latest"
],
"env": {}
},
"awslabs.aws-documentation-mcp-server": {
"autoApprove": [
"read_documentation",
"search_documentation",
"recommend",
"get_available_services"
],
"disabled": true,
"timeout": 60,
"type": "stdio",
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--env",
"AWS_DOCUMENTATION_PARTITION=aws-cn",
"mcp/aws-documentation:latest"
],
"env": {}
},
"aws-knowledge-mcp-server": {
"autoApprove": [
"aws___search_documentation",
"aws___read_documentation",
"aws___recommend"
],
"disabled": true,
"timeout": 60,
"type": "stdio",
"command": "uvx",
"args": [
"fastmcp",
"run",
"https://knowledge-mcp.global.api.aws"
]
},
"github.com/tavily-ai/tavily-mcp": {
"autoApprove": [],
"disabled": true,
"timeout": 60,
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tavily-mcp@latest"
],
"env": {
"TAVILY_API_KEY": "tvly-dev-ecexxxxxxxxxxK"
}
},
"web-search": {
"timeout": 60,
"type": "streamableHttp",
"url": "http://localhost:3000/mcp",
"autoApprove": [
"search"
]
},
"web-search-sse": {
"timeout": 60,
"type": "sse",
"url": "http://localhost:3000/sse",
"autoApprove": [
"search"
]
}
}
}
在线文档助手
使用如下mcp server配置,kb文档查询,document文档查询的功能,可以满足服务特性的答疑和总结功能。
json
{
"mcpServers": {
"awslabs.aws-documentation-mcp-server": {
"autoApprove": [
"read_documentation",
"search_documentation",
"recommend",
"get_available_services"
],
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"--env",
"AWS_DOCUMENTATION_PARTITION=aws-cn",
"mcp/aws-documentation:latest"
],
"env": {}
},
"aws-knowledge-mcp-server": {
"autoApprove": [
"aws___search_documentation",
"aws___read_documentation",
"aws___recommend"
],
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "uvx",
"args": [
"fastmcp",
"run",
"https://knowledge-mcp.global.api.aws"
]
}
}
}
资源检索工具
如果需要查询账户资源,可以集成api mcp,cline会使用awscli工具查询具体的资源
json
{
"mcpServers": {
"awslabs.aws-api-mcp-server": {
"timeout": 60,
"type": "stdio",
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"AWS_REGION=cn-north-1",
"--volume",
"/home/ec2-user/.aws:/app/.aws",
"public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:latest"
],
"env": {},
"disabled": true
}
}
成本和定价助手
- https://awslabs.github.io/mcp/servers/aws-pricing-mcp-server
- https://awslabs.github.io/mcp/servers/billing-cost-management-mcp-server
- https://awslabs.github.io/mcp/servers/cost-explorer-mcp-server
比较常用的是查看账户中钱花在哪了
json
{
"mcpServers": {
"awslabs.billing-cost-management-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"awslabs/billing-cost-management-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
特定领域工具
个人习惯还是倾向于手动维护资源,类似cdk等mcp操作过于繁琐不容易理解具体的内容,后续的trouble shooting反而费事。
对于一些重复性的但是比较简单的服务,可以考虑类似如下的iam-mcp-server,用来分析现有用户策略,进行安全性测试很方便
json
{
"mcpServers": {
"awslabs.iam-mcp-server": {
"command": "uvx",
"args": ["awslabs.iam-mcp-server@latest","--readonly"],
"env": {
"AWS_PROFILE": "default",
"AWS_REGION": "cn-north-1",
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}
使用support_mcp_server来更方便获取支持
json
{
"mcpServers": {
"awslabs_support_mcp_server": {
"command": "uvx",
"args": [
"-m", "awslabs.aws-support-mcp-server@latest",
"--debug",
"--log-file",
"./logs/mcp_support_server.log"
],
"env": {
"AWS_PROFILE": "default"
}
}
}
}
搜索功能
tavily需要申请apikey,一个月1000次免费额度
"github.com/tavily-ai/tavily-mcp": {
"command": "npx",
"args": [
"-y",
"tavily-mcp@latest"
],
"env": {
"TAVILY_API_KEY": "tvly-xxxxxxxxxxx"
},
"disabled": false,
"autoApprove": []
}
自行部署open-web-search
docker run -d --name web-search -p 3000:3000 \
-e ENABLE_CORS=true \
-e CORS_ORIGIN=* \
ghcr.io/aas-ee/open-web-search:latest
mcp配置如下
json
"web-search": {
"timeout": 60,
"type": "streamableHttp",
"url": "http://localhost:3000/mcp",
"autoApprove": [
"search"
]
},
"web-search-sse": {
"timeout": 60,
"type": "sse",
"url": "http://localhost:3000/sse",
"autoApprove": [
"search"
]
}