autosearch

PRISMA 2020 systematic reviews as MCP tools - verified citations, IMRAD papers

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
83%
命名品質
80%
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

~485Token(工具定義)
~526 B典型回應大小
極小的注意力影響(128k 上下文的 0.38%)

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": {
    "autosearch": {
      "url": "https://exatoshi.uk/mcp"
    }
  }
}

遠端端點

https://exatoshi.uk/mcpstreamable-http

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢autosearch_run_research(prompt, depth)

Launch an AI scientific research run. Returns run_id immediately. Use get_run_status to poll.

輸入結構描述

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Research question or topic"
    },
    "depth": {
      "type": "string",
      "enum": [
        "quick-scan",
        "standard-review",
        "deep-review"
      ],
      "default": "standard-review"
    }
  },
  "required": [
    "prompt"
  ]
}
🟢autosearch_get_run_status(run_id)

Get the current status of a research run. Returns status, frontier_score, n_experiments, summary.

輸入結構描述

{
  "type": "object",
  "properties": {
    "run_id": {
      "type": "string"
    }
  },
  "required": [
    "run_id"
  ]
}
🟢autosearch_get_run_paper(run_id, format)

Get the generated paper for a completed run. Returns markdown, JSON metadata, or PDF download URL.

輸入結構描述

{
  "type": "object",
  "properties": {
    "run_id": {
      "type": "string"
    },
    "format": {
      "type": "string",
      "enum": [
        "markdown",
        "json",
        "pdf_url"
      ],
      "default": "markdown"
    }
  },
  "required": [
    "run_id"
  ]
}
⚪autosearch_verify_doi(doi)

Verify a DOI via Crossref. Returns validity, title, authors, year, journal.

輸入結構描述

{
  "type": "object",
  "properties": {
    "doi": {
      "type": "string",
      "description": "DOI string with or without https://doi.org/ prefix"
    }
  },
  "required": [
    "doi"
  ]
}
🟢autosearch_search_evidence(query, sources, limit)

Search peer-reviewed evidence across academic sources without launching a full research run. Returns top N papers with metadata.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "sources": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "arxiv",
          "clinicaltrials",
          "crossref",
          "dblp",
          "doaj",
          "openalex",
          "pubmed",
          "semantic-scholar"
        ]
      },
      "default": [
        "openalex",
        "crossref",
        "pubmed",
        "semantic-scholar"
      ]
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ]
}
🟢autosearch_list_my_runs(limit)

List the authenticated user latest research runs with status and frontier score.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 100
    }
  }
}

建議的提示詞

search_research
Search for information about [topic] using autosearch
預期的工具: autosearch_run_research
find_specific
Find [specific item] using autosearch
預期的工具: autosearch_run_research
retrieve_data
Get details about [item] from autosearch
預期的工具: autosearch_get_run_status
fetch_info
Fetch [information type] using autosearch
預期的工具: autosearch_get_run_status
list_items
List all [items] available in autosearch
預期的工具: autosearch_list_my_runs

社群

為此伺服器評分

證據

近期觀測

已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具