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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

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
getCosConfigC

获取COS配置, 腾讯云配置

putObjectC

上传本地文件到存储桶

putStringC

上传字符串内容到存储桶

putBase64C

上传base64编码内容到存储桶

putBufferC

上传buffer内容到存储桶

putObjectSourceUrlC

通过 url下载文件并将文件上传到存储桶

getObjectUrlC

获取存储桶内的文件的带签名的下载链接

getObjectC

下载存储桶内的文件

getBucketB

查询存储桶内的文件列表

imageInfoC

图片处理-获取图片信息

assessQualityC

图片处理-图片质量评估

aiSuperResolutionC

图片处理-超分辨率

aiPicMattingD

图片处理-抠图

aiQrcodeB

图片处理-二维码识别-识别存储桶内二维码图片内容

waterMarkFontC

生成带文字水印的图片

createMediaSmartCoverJobD

创建媒体智能封面任务

describeMediaJobB

根据 jobid 查询指定的媒体智能封面任务结果

imageSearchPicC

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

imageSearchTextC

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

createDocToPdfJobC

创建文档转 pdf 处理任务

describeDocProcessJobC

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

TDQS

C2.9/5.0

Scored across 21 tools

Disambiguation4/5

Most tools have distinct purposes, with clear separation between image processing, file management, and job handling. However, there is some overlap between putBase64, putBuffer, putString, and putObject, which all handle file uploads with different input formats, potentially causing confusion.

Naming Consistency3/5

Naming conventions are mixed, with some tools using camelCase (e.g., createDocToPdfJob) and others using snake_case (e.g., image_search_pic is implied but not consistent). While verbs like 'create', 'describe', 'get', and 'put' are used predictably, the overall pattern lacks uniformity.

Tool Count3/5

With 21 tools, the count is on the higher side but reasonable for a server covering image processing, file storage, and job management. It feels slightly heavy but not excessive, as each tool serves a specific function within the domain.

Completeness4/5

The tool set provides good coverage for image processing and file operations, including upload, download, and management. Minor gaps exist, such as no direct delete or update tools for files or jobs, but agents can likely work around these with the available tools.

Maintenance

ActivityInactive
ResponsivenessSyncing