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Glama
xiaobenyang-com

xiaobenyang-mcp-2-1

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_IDYesMCP id
LOG_LEVELNoLog levelinfo
XBY_APIKEYYes你的实际apikey (Your actual API key)

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
get_all_dishesB

获取所有可用菜品的名称列表 (菜单)。

get_dish_contentC

根据提供的菜品名称获取其详细内容。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have perfectly distinct purposes: get_all_dishes retrieves a list of dish names, while get_dish_content fetches detailed content for a specific dish. There is no overlap or ambiguity between these operations.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern with 'get_' prefix and snake_case naming. The naming is predictable and clear across the set.

Tool Count2/5

With only 2 tools, this server feels thin for a dish/recipe domain. While the tools cover basic retrieval, typical food-related servers would include operations like search, filter, create, update, or delete dishes for a more complete surface.

Completeness2/5

The server only provides read operations (list and get details), lacking any create, update, delete, or search capabilities. This is a significant gap that will limit agent workflows, as there's no way to modify or interact with dish data beyond viewing it.

Maintenance

ActivityInactive
ResponsivenessNo issues