Career Command
AI interview practice and career preparation with user-controlled guidance.
我該用這個嗎
品質與安全性
發現項目（2）
- LOWTool 'prepare_interview_sprint_checkout' name length outside 3-30 range在 prepare_interview_sprint_checkout 中
- LOWTool 'get_career_command_capabilities' name length outside 3-30 range在 get_career_command_capabilities 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"career-command": {
"url": "https://evercraft-career-command.base44.app/functions/careerMcp"
}
}
}遠端端點
https://evercraft-career-command.base44.app/functions/careerMcpstreamable-http它能做什麼
工具清單
工具（5）
🟢get_interview_sprint_offer
Read the current Evercraft Interview Sprint terms. Read-only. Creates no checkout or payment obligation.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}⚪prepare_interview_sprint_checkout(user_confirmed_payment, email)
Only after the human explicitly agrees to pay $19 for the 7-day Interview Sprint, prepare a secure Evercraft Payments checkout. Checkout creation is not payment proof.
輸入結構描述
{
"type": "object",
"properties": {
"user_confirmed_payment": {
"type": "boolean",
"const": true
},
"email": {
"type": "string",
"maxLength": 254,
"format": "email",
"pattern": "^(?:[A-Za-z0-9_'+\\-]+\\.)*[A-Za-z0-9_'+\\-]*[A-Za-z0-9_+-]@(?:[A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$"
}
},
"required": [
"user_confirmed_payment",
"email"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_interview_sprint_status(order_key, session_id)
Verify the Evercraft Payments checkout and, only after provider-confirmed payment, return the bounded 7-day Career Sprint access token and remaining premium actions.
輸入結構描述
{
"type": "object",
"properties": {
"order_key": {
"type": "string",
"maxLength": 180
},
"session_id": {
"type": "string",
"maxLength": 220
}
},
"required": [
"order_key",
"session_id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}⚪run_interview_sprint_action(access_key, mode, request_id, role, company, ...)
Consume one verified premium action for pre-interview preparation. Supports role-specific question generation, practice-answer evaluation, story recovery, and interview planning. Not for covert live-interview answer feeding.
輸入結構描述
{
"type": "object",
"properties": {
"access_key": {
"type": "string",
"maxLength": 128
},
"mode": {
"type": "string",
"enum": [
"generate_question",
"evaluate_answer",
"story_recovery",
"interview_plan"
]
},
"request_id": {
"type": "string",
"maxLength": 100
},
"role": {
"type": "string",
"maxLength": 300
},
"company": {
"type": "string",
"maxLength": 300
},
"job_description": {
"type": "string",
"maxLength": 12000
},
"candidate_background": {
"type": "string",
"maxLength": 12000
},
"skills": {
"type": "string",
"maxLength": 4000
},
"achievements": {
"type": "string",
"maxLength": 4000
},
"prior_practice": {
"type": "string",
"maxLength": 6000
},
"question": {
"type": "string",
"maxLength": 3000
},
"answer": {
"type": "string",
"maxLength": 12000
}
},
"required": [
"access_key",
"mode"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_career_command_capabilities
Read Career Command machine-commerce boundaries and supported premium practice actions.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}社群
證據