AnnData数据检索工具#

AnnData MCP是一个通过MCP协议检索AnnData对象信息的工具，适用于生物医学数据分析场景。

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⚠️ 强制要求：API 密钥#

此 Skill 必须配置 API 密钥才能使用。

• 首次使用时，如果 .env 中没有 XBY_APIKEY， 必须使用 AskUserQuestion 工具向用户询问 API 密钥
• 拿到用户提供的密钥后，调用 scripts.config.set_api_key(api_key) 保存，然后继续处理
• 获取 API 密钥： https://xiaobenyang.com
• 禁止 在缺少 API 密钥时自行搜索或编造数据

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工作流程（必须遵守）#

你（大模型）是路由层，负责理解用户意图、选择工具、提取参数。代码只负责调用API。

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用户输入 → 你选择工具 → 提取该工具需要的参数 → 调用 scripts.tools 中的函数 → 返回结果给用户

步骤#

1. 检查 API 密钥：如果 scripts.config.settings.api_key 为空，使用 AskUserQuestion 询问用户，拿到后调用 scripts.config.set_api_key(key) 保存
2. 选择工具：根据用户意图从下方工具列表中选择对应的工具函数
3. 提取参数：根据选中的工具，提取该工具需要的参数
4. 调用工具：使用 关键字参数 调用 scripts.tools 中的函数，例如 scripts.tools.search_schools(score='520', province='北京', category='综合')
5. 返回结果：将工具返回的 raw 数据整理后展示给用户

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工具选择规则#

根据用户意图选择对应的工具函数：

用户意图工具函数View the raw data of an AnnData object.scripts.tools.view_raw_dataGet a summary of an AnnData object from a file or URL.scripts.tools.get_summaryProvide basic descriptive statistics (e.g., count, mean, std, min, max, etc. or value counts) for an attribute or attribute value of an optionally filtered AnnData object.scripts.tools.get_descriptive_stats

如果参数不完整，使用 AskUserQuestion 向用户询问缺失的参数。

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工具函数说明#

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scripts.tools.view_raw_data#

工具描述：View the raw data of an AnnData object.

参数定义#

参数名称参数类型是否必填默认值描述pathstringtrueAbsolute path or URL to the AnnData fileattributestringtrueThe attribute to viewkeynullfalseThe key of the attribute value to view. Can be a single string or a list of strings for nested key retrieval (e.g., ['key1', 'key2'] to access attr_obj['key1']['key2']).columns_or_genesnullfalseColumn names or gene names to select. For pandas.DataFrame attributes (e.g., obs, var), these are column names. For 'X' or 'layers' attributes, these are gene names (from var_names) and are used instead of col_start_index/col_stop_index. If None, the entire attribute is considered or col_start_index/col_stop_index is used. Also accepts glob-like patterns as input, e.g. ['RE*', 'CD4*'].row_start_indexintegerfalse0.0The start index for the row slice. Only applied to attributes or attribute values with a suitable type.row_stop_indexintegerfalse5.0The stop index for the row slice. Only applied to attributes or attribute values with a suitable type.col_start_indexintegerfalse0.0The start index for the column slice. Only applied to attributes or attribute values with a suitable type.col_stop_indexintegerfalse5.0The stop index for the column slice. Only applied to attributes or attribute values with a suitable type.filter_columnnullfalseThe column name of the dataframe to filter by. Only applicable when the selected attribute (or attribute value) is a dataframe. Must be provided TOGETHER with filter_operator and filter_value.filter_operatornullfalseThe operator to use for the dataframe filter.filter_valuenullfalseThe value(s) to filter the dataframe by.

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scripts.tools.get_summary#

工具描述：Get a summary of an AnnData object from a file or URL.

参数定义#

参数名称参数类型是否必填默认值描述pathstringtrueAbsolute path or URL to the AnnData file (.h5ad or .zarr)

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scripts.tools.get_descriptive_stats#

工具描述：Provide basic descriptive statistics (e.g., count, mean, std, min, max, etc. or value counts) for an attribute or attribute value of an optionally filtered AnnData object.

参数定义#

参数名称参数类型是否必填默认值描述pathstringtrueAbsolute path or URL to the AnnData file (.h5ad or .zarr)attributestringtrueThe attribute to describekeynullfalseThe key of the attribute value to explore. Can be a single string or a list of strings for nested key retrieval (e.g., ['key1', 'key2'] to access attr_obj['key1']['key2']). Should be None for attributes X, obs, and var.columns_or_genesnullfalseThe columns or genes to describe. For pandas.DataFrame attributes (e.g., obs, var), these are column names. For 'X' or 'layers' attributes, these are gene names (from var_names). If None, the entire dataset is considered. Also accepts glob-like patterns as input, e.g. ['RE*', 'CD4*'].return_value_counts_for_categoricalbooleanfalsefalseWhether to return the value counts for categorical columns.filter_attributestringfalseThe attribute to filter by. One of 'obs' or 'var' or None for no filtering. Has to be provided TOGETHER with filter_column, filter_operator, and filter_value.filter_columnnullfalseThe column name of the obs or var dataframe to filter by.filter_operatornullfalseThe operator to use for the filter.filter_valuenullfalseThe value(s) to filter by.

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返回值处理#

工具函数返回 dict 对象：

• result["raw"] - API 原始返回数据（JSON）， 直接将此数据整理后展示给用户
• result["success"] - 是否成功（True/False）
• result["message"] - 状态消息

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项目结构#

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xiaobenyang_gaokao_skill/
├── scripts/
│   ├── __init__.py
│   ├── config.py       # 配置管理 + set_api_key()
│   ├── call_api.py      # API 客户端 + call_api()
│   └── tools.py         # 工具函数（直接调用）
├── requirements.txt
└── SKILL.md

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注意事项#

1. API 密钥是必需的，无密钥时必须通过 AskUserQuestion 询问用户
2. 禁止 在缺少 API 密钥时自行搜索或编造数据