Conference Partner

Conference & journal CFP deadlines, CCF/ICORE/QUALIS rankings, acceptance rates, research fields.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
89%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,756Token(工具定義)
~1.6 KB典型回應大小
中等的注意力影響(128k 上下文的 1.37%)

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": {
    "conference-partner": {
      "url": "https://www.myhuiban.com/mcp"
    }
  }
}

遠端端點

https://www.myhuiban.com/mcpstreamable-http

它能做什麼

工具清單

工具(8)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_conferences(query, ccf_rank, core_rank, qualis_rank, field, ...)

Search academic conferences. Every parameter is optional — combine any of keyword, CCF/CORE/QUALIS rank, research field and submission/conference date ranges. Filter-only queries work fine (e.g. field=ai plus a submission-deadline window, no keyword). Returns a paginated list.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keyword, matched against short/full name"
    },
    "ccf_rank": {
      "type": "string",
      "enum": [
        "A",
        "B",
        "C"
      ],
      "description": "CCF rank"
    },
    "core_rank": {
      "type": "string",
      "enum": [
        "A*",
        "A",
        "B",
        "C"
      ],
      "description": "CORE rank"
    },
    "qualis_rank": {
      "type": "string",
      "description": "QUALIS rank"
    },
    "field": {
      "type": "string",
      "enum": [
        "ai",
        "vision",
        "nlp",
        "data",
        "network",
        "security",
        "se",
        "systems",
        "theory",
        "hci",
        "graphics",
        "bio",
        "robotics",
        "web",
        "ee",
        "energy",
        "materials",
        "civil",
        "education",
        "management",
        "math"
      ],
      "description": "Research field (e.g. ai, security, systems, ee, energy) - see the field enum for the full list"
    },
    "submission_date_start": {
      "type": "string",
      "description": "Submission deadline from (YYYY-MM-DD)"
    },
    "submission_date_end": {
      "type": "string",
      "description": "Submission deadline until (YYYY-MM-DD)"
    },
    "conference_date_start": {
      "type": "string",
      "description": "Conference date from (YYYY-MM-DD)"
    },
    "conference_date_end": {
      "type": "string",
      "description": "Conference date until (YYYY-MM-DD)"
    },
    "updated_since": {
      "type": "string",
      "description": "Incremental sync: only venues changed on/after this date (YYYY-MM-DD). Day granularity. Use the updated_at field of the results as your next checkpoint."
    },
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1,
      "description": "Page number, 1-based"
    },
    "per_page": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 10,
      "description": "Items per page, max 100"
    }
  }
}
🟢search_journals(query, ccf_rank, issn, field, updated_since, ...)

Search academic journals. Every parameter is optional — combine any of keyword, CCF rank, research field and ISSN. Returns a paginated list.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keyword, matched against short/full name"
    },
    "ccf_rank": {
      "type": "string",
      "enum": [
        "A",
        "B",
        "C"
      ],
      "description": "CCF rank"
    },
    "issn": {
      "type": "string",
      "description": "ISSN (fuzzy match)"
    },
    "field": {
      "type": "string",
      "enum": [
        "ai",
        "vision",
        "nlp",
        "data",
        "network",
        "security",
        "se",
        "systems",
        "theory",
        "hci",
        "graphics",
        "bio",
        "robotics",
        "web",
        "ee",
        "energy",
        "materials",
        "civil",
        "education",
        "management",
        "math"
      ],
      "description": "Research field (e.g. ai, security, systems, ee, energy) - see the field enum for the full list"
    },
    "updated_since": {
      "type": "string",
      "description": "Incremental sync: only venues changed on/after this date (YYYY-MM-DD). Day granularity. Use the updated_at field of the results as your next checkpoint."
    },
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1,
      "description": "Page number, 1-based"
    },
    "per_page": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 10,
      "description": "Items per page, max 100"
    }
  }
}
🟢list_conferences(ranking, page, per_page)

Browse conference lists and rankings (open CFPs, ranked venues with a call open now, popularity, most competitive, etc.), paginated. No keyword filtering — use search_conferences for that.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ranking": {
      "type": "string",
      "enum": [
        "cfp",
        "past_cfp",
        "ccf",
        "core",
        "qualis",
        "most_viewed",
        "most_tracked",
        "most_attended",
        "most_competitive",
        "upcoming",
        "past",
        "trending",
        "cp_index"
      ],
      "description": "cfp=open calls for papers; past_cfp=expired calls; ccf/core/qualis=venues in that tier whose submission deadline has not passed (for the whole tier catalogue use search_conferences with ccf_rank / core_rank / qualis_rank); cp_index=every conference ordered by the Conference Partner Index, our own 0-100 score - the only list here that covers the whole catalogue instead of the fifth of it that CCF / ICORE / QUALIS rate; each row carries cp_index with its confidence, and https://www.myhuiban.com/ranking has the method; most_viewed/most_tracked/most_attended=popularity; most_competitive=lowest acceptance rate; upcoming/past=by conference date; trending=most viewed in the last 30 days"
    },
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1,
      "description": "Page number, 1-based"
    },
    "per_page": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 20,
      "description": "Items per page, max 100"
    }
  },
  "required": [
    "ranking"
  ]
}
🟢list_journals(ranking, page, per_page)

Browse journal lists and rankings (special-issue CFPs, CCF, highest impact factor, popularity, all), paginated. No keyword filtering — use search_journals for that.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ranking": {
      "type": "string",
      "enum": [
        "cfp",
        "ccf",
        "highest_if",
        "most_viewed",
        "most_tracked",
        "all"
      ],
      "description": "cfp=special-issue calls for papers; ccf=CCF list; highest_if=highest impact factor; most_viewed/most_tracked=popularity; all=all journals"
    },
    "page": {
      "type": "integer",
      "minimum": 1,
      "default": 1,
      "description": "Page number, 1-based"
    },
    "per_page": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "default": 20,
      "description": "Items per page, max 100"
    }
  },
  "required": [
    "ranking"
  ]
}
🟢get_conference(id)

Get full details of a conference by id: basics, CFP text, acceptance-rate history, edition history, structured ratings and comments, related conferences/journals. REQUIRES CREDENTIALS: Authorization: Bearer <credential> (free API key from https://www.myhuiban.com/account/api-keys, or a JWT from POST /api/login). responses link to the Conference Partner detail_page, not the venue's external website.

輸入結構描述

{
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "description": "Conference id"
    }
  },
  "required": [
    "id"
  ]
}
🟢get_journal(id)

Get full details of a journal by id: basics, CFP text, special issues, structured ratings and comments, related journals/conferences. REQUIRES CREDENTIALS: Authorization: Bearer <credential> (free API key from https://www.myhuiban.com/account/api-keys, or a JWT from POST /api/login). responses link to the Conference Partner detail_page, not the venue's external website.

輸入結構描述

{
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "description": "Journal id"
    }
  },
  "required": [
    "id"
  ]
}
🟢get_researcher(id)

Get a researcher's public profile by id: name, institution, auto-generated research-interest summary, CV, tracked/attended conferences and tracked journals. REQUIRES CREDENTIALS: Authorization: Bearer <credential> (free API key from https://www.myhuiban.com/account/api-keys, or a JWT from POST /api/login). Never includes contact details; by id only — there is no researcher search or enumeration.

輸入結構描述

{
  "type": "object",
  "properties": {
    "id": {
      "type": "integer",
      "description": "Researcher (user) id"
    }
  },
  "required": [
    "id"
  ]
}
🟢get_statistics

Site-level public statistics: conference/journal totals, how many conferences have an open call for papers, upcoming deadlines by month, open CFPs by CCF / ICORE / QUALIS tier, conference country and research-field distributions, journal impact-factor, CCF-tier, publisher and research-field distributions. Research-field keys are the same slugs the search tools accept in their field parameter.

輸入結構描述

{
  "type": "object",
  "properties": {}
}

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已驗證未記錄版本8 個工具
已驗證未記錄版本8 個工具