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BioBricks: the site's own MCP server — dataset, enquiry (enquiry = a human handoff, not a...

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品質與安全性

A
說明品質
100%
結構描述完整度
64%
命名品質
82%
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

~1,198Token(工具定義)
~704 B典型回應大小
中等的注意力影響(128k 上下文的 0.94%)

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": {
    "site": {
      "url": "https://biobricks.org/mcp"
    }
  }
}

遠端端點

https://biobricks.org/mcpstreamable-http

它能做什麼

工具清單

工具(10)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢dataset_columns

The columns, which of them are numeric, the row count and the provenance banner of the BioBricks dataset. Call this first to learn the schema.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢dataset_search(query, limit)

Rows of the BioBricks dataset whose cells contain the query (case-insensitive), up to 50.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "description": "text to look for in any cell"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪dataset_row(column, value)

The rows of the BioBricks dataset where a column equals a value exactly (case-insensitive).

輸入結構描述

{
  "type": "object",
  "properties": {
    "column": {
      "type": "string",
      "minLength": 1
    },
    "value": {
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "column",
    "value"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪dataset_compare(column, values)

The rows of the BioBricks dataset whose column is any of the given values, in the order given — for "X vs Y" questions.

輸入結構描述

{
  "type": "object",
  "properties": {
    "column": {
      "type": "string",
      "minLength": 1
    },
    "values": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "minItems": 2,
      "maxItems": 10
    }
  },
  "required": [
    "column",
    "values"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪dataset_stats(column)

count, min, max, mean, median and sum of a numeric column of the BioBricks dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).

輸入結構描述

{
  "type": "object",
  "properties": {
    "column": {
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "column"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪dataset_top(column, limit, ascending)

The highest (or lowest) rows of the BioBricks dataset by a numeric column — "which is the most/least X".

輸入結構描述

{
  "type": "object",
  "properties": {
    "column": {
      "type": "string",
      "minLength": 1
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "ascending": {
      "type": "boolean",
      "description": "true for the lowest first; default highest first"
    }
  },
  "required": [
    "column"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢dataset_provenance

The source, the date it was computed, the licence and the citation for the BioBricks dataset. Read this to attribute a figure correctly.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡enquiry_describe

Read first. States plainly what submit_enquiry does on BioBricks: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡enquiry_fields

Every field of the BioBricks enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡submit_enquiry(answers, consent, confirmation)

Submits an enquiry to BioBricks — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three gene synthesis and research supply firms, chosen by BioBricks, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

輸入結構描述

{
  "type": "object",
  "properties": {
    "answers": {
      "type": "object",
      "additionalProperties": {
        "type": [
          "string",
          "number",
          "boolean"
        ]
      },
      "description": "the person's answers, keyed by field key"
    },
    "consent": {
      "type": "boolean",
      "description": "true only when the person has agreed to: Send my contact details to up to three gene synthesis and research supply firms, chosen by BioBricks, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."
    },
    "confirmation": {
      "type": "string",
      "description": "the confirmation token from step 1, after the person has approved the summary"
    }
  },
  "required": [
    "answers",
    "consent"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

建議的提示詞

search_research
Search for information about [topic] using site
預期的工具: dataset_search
find_specific
Find [specific item] using site
預期的工具: dataset_search
search_then_create
Search for [item] and create a new [related item] using site
預期的工具: dataset_searchdataset_columns

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