MCP Test Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
| Name | Description |
|---|---|
| add_userC | 添加新用户 |
| search_usersC | 搜索用户 |
| create_todoC | 创建待办事项 |
| calculateC | 执行数学计算 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| user_analysis | 用户数据分析提示 |
| todo_summary | 待办事项摘要提示 |
| system_report | 系统状态报告提示 |
| code_review | 代码审查提示模板 |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| 用户列表 | 获取所有用户数据 |
| 待办事项 | 获取所有待办事项数据 |
| 配置信息 | 系统配置信息 |
| 系统日志 | 查看系统操作日志 |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: add_user and search_users handle user management, calculate performs mathematical operations, and create_todo manages tasks. There is no overlap or ambiguity between these domains, making tool selection straightforward.
Three tools follow a consistent verb_noun pattern (add_user, create_todo, search_users), but 'calculate' deviates by using only a verb without a noun. This minor inconsistency slightly reduces predictability, though the naming remains readable and functional.
With only 4 tools, the server feels thin and under-scoped for a general 'Test Server' purpose, lacking coverage in areas like updates, deletions, or broader operations. While each tool is distinct, the count is borderline low for typical server functionality.
The tool set is severely incomplete for user and task management domains. For users, there is no update_user or delete_user, and for todos, no get_todo, update_todo, or delete_todo. This creates significant gaps that will likely cause agent failures in common workflows.