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Glama
avclabs

media-mcp

Official
by avclabs
OverviewSchemaSourceRelated ServersDiscussions(1)Admin
TypeScript
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
API_KEYYesAPI authentication key for video enhancement and SAM3
HTTP_API_BASE_URLNoVideo enhancement service endpoint URLhttps://mcp.avc.ai/enhance
SAM3_API_BASE_URLNoSAM3 service endpoint URLhttps://mcp.avc.ai/sam
SAM3_POLL_INTERVALNoPolling interval in milliseconds2000
SAM3_POLL_MAX_ATTEMPTSNoMaximum number of polling attempts60

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
create_taskB

创建视频增强任务（异步）

支持两种上传方式：

  1. URL 上传：提供视频 URL

  2. 本地上传：提供本地文件路径，MCP Server 自动上传到 TOS 对象存储

参数说明：

  • video_source: 视频 URL 或本地文件路径

  • type: "url" 或 "local"

  • resolution: 目标分辨率

get_task_statusA

查询视频增强任务状态

enhance_video_syncA

同步增强视频（阻塞等待完成）

支持两种上传方式：

  1. URL 上传：提供视频 URL

  2. 本地上传：提供本地文件路径，MCP Server 自动上传到 TOS 对象存储

参数说明：

  • video_source: 视频 URL 或本地文件路径

  • type: "url" 或 "local"

  • resolution: 目标分辨率

  • poll_interval: 轮询间隔（秒）

  • timeout: 超时时间（秒）

sam3_predictA

Analyze an image using the SAM3 segmentation API to generate inference results (masks, boxes, scores). The image can be provided in one of three ways:

  1. imagePath: Absolute path of a local image file (e.g. C:\Users\xxx\photo.png). Use this when the user provides a local file path.

  2. imageUrl: Publicly accessible URL of the image (e.g. https://example.com/photo.jpg). Use this when the user provides a web link.

  3. imageBase64: Base64-encoded image data. Use this when the user uploads or drags-and-drops an image as an attachment and no local path is available. In this case, encode the image content as base64 and pass it via this parameter. If the user mentions an uploaded image but does not provide a path, URL, or base64 data, ask the user for the local absolute path. Prompt must be in English. If the user provides Chinese or other non-English text, translate it to English before calling this tool.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 4 tools

Disambiguation2/5

The first three tools are about video enhancement tasks with overlapping functionality (create_task and enhance_video_sync both appear to initiate enhancement), and the fourth tool (sam3_predict) is for image segmentation, a completely different domain. The descriptions are not clear enough to distinguish which tool to use for a given task, causing confusion.

Naming Consistency3/5

Tool names partially follow a verb_noun pattern (create_task, get_task_status), but 'enhance_video_sync' is awkward and 'sam3_predict' mixes model name with verb, introducing inconsistency.

Tool Count4/5

With 4 tools, the count is reasonable for a focused server, but the server actually combines two unrelated capabilities (video enhancement and image segmentation), making the scope unclear but the number itself is not extreme.

Completeness2/5

For video enhancement, there are create, sync enhance, and status query, but missing cancel, list, or delete operations. For image segmentation, only a single predict tool exists. The surface is incomplete for both domains.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources