SkillOps MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_MODEL | No | Which Gemini model to use | gemini-2.5-flash |
| GEMINI_API_KEY | Yes | Your free Google AI Studio key (required) | |
| SKILLOPS_LOG_LEVEL | No | Log level: DEBUG, INFO, WARNING, ERROR | INFO |
| SKILLOPS_MAX_RETRIES | No | Retry attempts on rate-limit / server errors | 3 |
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| triage_support_queryA | Analyze a student support query and return category, urgency level, suggested response, and escalation flag. Use this to automate support ticket triage for EdTech operations teams. |
| generate_reengagement_messageA | Generate a personalized re-engagement outreach message for an inactive student. Returns subject line, email body, and WhatsApp-friendly short message. Use for growth team automation. |
| analyze_course_feedbackA | Analyze a batch of student course feedback. Returns sentiment scores, top themes, key complaints, key praises, and actionable improvement suggestions. Input is a JSON array of feedback strings. |
| batch_generate_reportsA | Generate a structured weekly student progress report from raw student data. Accepts either a list of student records or a CSV file path. Returns an executive summary, at-risk students list, top performers, and recommended actions. |
| create_course_outlineA | Generate a detailed, structured course outline for any topic and audience level. Returns modules, lessons per module, learning objectives, estimated durations, and assessment ideas. |
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 5 tools
Each tool targets a distinct aspect of EdTech operations: feedback analysis, report generation, course outline creation, re-engagement messages, and support triage. There is no overlap in functionality.
All tool names follow a verb_noun pattern using snake_case, e.g., 'analyze_course_feedback' and 'create_course_outline'. The verb 'batch_generate' is slightly inconsistent with the simpler 'generate' in another tool, but still clear.
Five tools cover the core operations of a skill-focused educational platform without being excessive or insufficient. Each tool serves a well-defined purpose.
The set covers feedback analysis, reporting, course outline creation, student re-engagement, and support triage. Missing basic CRUD for courses or student profiles, but the focus on analytics and automation is coherent.