Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
portNoPort number when using SSE connection type3001
BucketYesThe name of the COS bucket (e.g., mybucket-123456)
RegionYesThe region where the COS bucket is located (e.g., ap-beijing)
SecretIdYesTencent Cloud COS secret ID for authentication
SecretKeyYesTencent Cloud COS secret key for authentication
DatasetNameNoOptional parameter for data intelligent search operations. The name of the dataset for MateInsight.
connectTypeNoConnection type: 'stdio' (local) or 'sse' (remote)stdio

Tools

Functions exposed to the LLM to take actions

NameDescription
getCosConfig

获取COS配置, 腾讯云配置

putObject

上传本地文件到存储桶

putString

上传字符串内容到存储桶

putBase64

上传base64编码内容到存储桶

putBuffer

上传buffer内容到存储桶

putObjectSourceUrl

通过 url下载文件并将文件上传到存储桶

getObjectUrl

获取存储桶内的文件的带签名的下载链接

getObject

下载存储桶内的文件

getBucket

查询存储桶内的文件列表

imageInfo

图片处理-获取图片信息

assessQuality

图片处理-图片质量评估

aiSuperResolution

图片处理-超分辨率

aiPicMatting

图片处理-抠图

aiQrcode

图片处理-二维码识别-识别存储桶内二维码图片内容

waterMarkFont

生成带文字水印的图片

createMediaSmartCoverJob

创建媒体智能封面任务

describeMediaJob

根据 jobid 查询指定的媒体智能封面任务结果

imageSearchPic

根据输入的图片,从数据集中检索出与输入的图片内容相似的图片

imageSearchText

根据输入的文本内容,从数据集中检索出与输入的文本内容相符的图片

createDocToPdfJob

创建文档转 pdf 处理任务

describeDocProcessJob

根据 jobid 查询指定的文档转码任务结果

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaomizhoubaobei/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server