Homework Grading MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Log level | info |
| MCP_SERVER_NAME | No | MCP server name | homework-grading-mcp |
| MCP_SERVER_VERSION | No | MCP server version | 1.0.0 |
| MODELSCOPE_API_KEY | Yes | Your ModelScope API key (required) |
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 |
|---|---|
| grade_homeworkB | 📝 智能批改学生作业图片，支持Base64和URL两种方式，自动识别题目并给出评分和解析 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or confusion between tools. The tool's purpose is clearly defined as grading homework from images, making it impossible to misselect among non-existent alternatives.
A single tool inherently has perfect naming consistency, as there are no other tools to compare against. The name 'grade_homework' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A single tool is too few for a server labeled 'Homework Grading MCP', which implies a broader scope. While the tool handles grading, typical grading workflows might require additional operations like listing assignments, managing students, or reviewing grades, making this feel incomplete.
The tool surface is severely incomplete for a homework grading domain. It only provides grading functionality, missing essential operations such as creating assignments, retrieving past grades, updating scores, or managing student data, which will likely cause agent failures in comprehensive tasks.